Extended deadline: RecSys'14 Workshop on New Trends in Content-based Recommender Systems - Silicon Valley, CA, USA - 6-11 October 2014
workshop proceedings and published by CEUR. Extended versions of selected workshop papers may be included in a special journal issue (TBD). At least one author of each accepted paper must attend the workshop. - Challenge - To facilitate exploration of these topics the workshop will feature an in-workshop challenge on book recommendation. For this challenge a large dataset containing user profiles with book ratings and tags and 2.8 million book descriptions with library metadata, user ratings, tags, and reviews from Amazon and LibraryThing will be made available. The rich textual nature of the task makes the challenge an excellent venue to revisit the questions of the benefits of content-based filtering vs. collaborative filtering and metadata vs. ratings information. Please consult the Challenge page for more details about the setup of the challenge and how to obtain the data set. --- Important dates --- * First call for participation: May 5, 2014 * Challenge data set made available: May 12, 2014 * Paper submission deadline: July 21, 2014 => July 25 (noon, CET), 2014 * Challenge submission deadline: July 21, 2014 => July 25 (noon, CET), 2014 * Notification of acceptance: August 21, 2014 * Workshop & announcement of winners: RecSys 2014 - Program Committee - * Linas Baltrunas, Telefónica Research, Spain * Alejandro Bellogín, Universidad Autónoma de Madrid, Spain * Shlomo Berkovsky, NICTA, Australia * Pablo Castells, Universidad Autónoma de Madrid, Spain * Federica Cena, Universita' degli Studi di Torino, Italy * Paolo Cremonesi, Politecnico di Milano, Italy * Tommaso Di Noia, Politecnico di Bari, Italy * Peter Dolog, Aalborg University, Denmark * Juan M. Fernández-Luna, Universidad de Granada, Spain * Ignacio Fernández-Tobías, Universidad Autónoma de Madrid, Spain * Cristina Gena, Universita' degli Studi di Torino, Italy * Juan F. Huete, Universidad de Granada, Spain * Birger Larsen, Aalborg University, Denmark * Pasquale Lops, University of Bari "Aldo Moro", Italy * Alan Said, Centrum Wiskunde & Informatica, The Netherlands * Markus Schedl, Johannes Kepler University, Austria * Giovanni Semeraro, University of Bari "Aldo Moro", Italy * Nava Tintarev, University of Aberdeen, UK * Marko Tkalcic, Johannes Kepler University, Austria * David Vallet, Google, Australia -- Organizers -- * Toine Bogers (to...@hum.aau.dk), Aalborg University Copenhagen, Denmark * Marijn Koolen (marijn.koo...@uva.nl), University of Amsterdam, the Netherlands * Iván Cantador (ivan.canta...@uam.es), Universidad Autónoma de Madrid, Spain For further questions, please contact a member of the organizing committee.
Last CfP: RecSys'14 Workshop on New Trends in Content-based Recommender Systems - Silicon Valley, CA, USA - 6-11 October 2014
d by CEUR. Extended versions of selected workshop papers may be included in a special journal issue (TBD). At least one author of each accepted paper must attend the workshop. - Challenge - To facilitate exploration of these topics the workshop will feature an in-workshop challenge on book recommendation. For this challenge a large dataset containing user profiles with book ratings and tags and 2.8 million book descriptions with library metadata, user ratings, tags, and reviews from Amazon and LibraryThing will be made available. The rich textual nature of the task makes the challenge an excellent venue to revisit the questions of the benefits of content-based filtering vs. collaborative filtering and metadata vs. ratings information. Please consult the Challenge page for more details about the setup of the challenge and how to obtain the data set. --- Important dates --- * First call for participation: May 5, 2014 * Challenge data set made available: May 12, 2014 * Paper submission deadline: July 21, 2014 * Challenge submission deadline: July 21, 2014 * Notification of acceptance: August 21, 2014 * Workshop & announcement of winners: RecSys 2014 - Program Committee - * Linas Baltrunas, Telefónica Research, Spain * Alejandro Bellogín, Universidad Autónoma de Madrid, Spain * Shlomo Berkovsky, NICTA, Australia * Pablo Castells, Universidad Autónoma de Madrid, Spain * Federica Cena, Universita' degli Studi di Torino, Italy * Paolo Cremonesi, Politecnico di Milano, Italy * Tommaso Di Noia, Politecnico di Bari, Italy * Peter Dolog, Aalborg University, Denmark * Juan M. Fernández-Luna, Universidad de Granada, Spain * Ignacio Fernández-Tobías, Universidad Autónoma de Madrid, Spain * Cristina Gena, Universita' degli Studi di Torino, Italy * Juan F. Huete, Universidad de Granada, Spain * Birger Larsen, Aalborg University, Denmark * Pasquale Lops, University of Bari "Aldo Moro", Italy * Alan Said, Centrum Wiskunde & Informatica, The Netherlands * Markus Schedl, Johannes Kepler University, Austria * Giovanni Semeraro, University of Bari "Aldo Moro", Italy * Nava Tintarev, University of Aberdeen, UK * Marko Tkalcic, Johannes Kepler University, Austria * David Vallet, Google, Australia -- Organizers -- * Toine Bogers (to...@hum.aau.dk), Aalborg University Copenhagen, Denmark * Marijn Koolen (marijn.koo...@uva.nl), University of Amsterdam, the Netherlands * Iván Cantador (ivan.canta...@uam.es), Universidad Autónoma de Madrid, Spain For further questions, please contact a member of the organizing committee.
CfP: RecSys'14 Workshop on New Trends in Content-based Recommender Systems - Silicon Valley, CA, USA - 6-11 October 2014
d by CEUR. Extended versions of selected workshop papers may be included in a special journal issue (TBD). At least one author of each accepted paper must attend the workshop. - Challenge - To facilitate exploration of these topics the workshop will feature an in-workshop challenge on book recommendation. For this challenge a large dataset containing user profiles with book ratings and tags and 2.8 million book descriptions with library metadata, user ratings, tags, and reviews from Amazon and LibraryThing will be made available. The rich textual nature of the task makes the challenge an excellent venue to revisit the questions of the benefits of content-based filtering vs. collaborative filtering and metadata vs. ratings information. Please consult the Challenge page for more details about the setup of the challenge and how to obtain the data set. --- Important dates --- * First call for participation: May 5, 2014 * Challenge data set made available: May 12, 2014 * Paper submission deadline: July 21, 2014 * Challenge submission deadline: July 21, 2014 * Notification of acceptance: August 21, 2014 * Workshop & announcement of winners: RecSys 2014 - Program Committee - * Linas Baltrunas, Telefónica Research, Spain * Alejandro Bellogín, Universidad Autónoma de Madrid, Spain * Shlomo Berkovsky, NICTA, Australia * Pablo Castells, Universidad Autónoma de Madrid, Spain * Federica Cena, Universita' degli Studi di Torino, Italy * Paolo Cremonesi, Politecnico di Milano, Italy * Tommaso Di Noia, Politecnico di Bari, Italy * Peter Dolog, Aalborg University, Denmark * Juan M. Fernández-Luna, Universidad de Granada, Spain * Ignacio Fernández-Tobías, Universidad Autónoma de Madrid, Spain * Cristina Gena, Universita' degli Studi di Torino, Italy * Juan F. Huete, Universidad de Granada, Spain * Birger Larsen, Aalborg University, Denmark * Pasquale Lops, University of Bari "Aldo Moro", Italy * Alan Said, Centrum Wiskunde & Informatica, The Netherlands * Markus Schedl, Johannes Kepler University, Austria * Giovanni Semeraro, University of Bari "Aldo Moro", Italy * Nava Tintarev, University of Aberdeen, UK * Marko Tkalcic, Johannes Kepler University, Austria * David Vallet, Google, Australia -- Organizers -- * Toine Bogers (to...@hum.aau.dk), Aalborg University Copenhagen, Denmark * Marijn Koolen (marijn.koo...@uva.nl), University of Amsterdam, the Netherlands * Iván Cantador (ivan.canta...@uam.es), Universidad Autónoma de Madrid, Spain For further questions, please contact a member of the organizing committee.
CfP: RecSys'14 Workshop on New Trends in Content-based Recommender Systems - Sillicon Valley, CA, USA - 6-11 October 2014
Extended versions of selected workshop papers may be included in a special journal issue (TBD). At least one author of each accepted paper must attend the workshop. - Challenge - To facilitate exploration of these topics the workshop will feature an in-workshop challenge on book recommendation. For this challenge a large dataset containing user profiles with book ratings and tags and 2.8 million book descriptions with library metadata, user ratings, tags, and reviews from Amazon and LibraryThing will be made available. The rich textual nature of the task makes the challenge an excellent venue to revisit the questions of the benefits of content-based filtering vs. collaborative filtering and metadata vs. ratings information. Please consult the Challenge page for more details about the setup of the challenge and how to obtain the data set. --- Important dates --- * First call for participation: May 5, 2014 * Challenge data set made available: May 12, 2014 * Paper submission deadline: July 21, 2014 * Challenge submission deadline: July 21, 2014 * Notification of acceptance: August 21, 2014 * Workshop & announcement of winners: RecSys 2014 --- Program Committee (TBC) --- * Linas Baltrunas, Telefónica Research, Spain * Alejandro Bellogín, Universidad Autónoma de Madrid, Spain * Shlomo Berkovsky, NICTA, Australia * Pablo Castells, Universidad Autónoma de Madrid, Spain * Federica Cena, Universita' degli Studi di Torino, Italy * Tommaso Di Noia, Politecnico di Bari, Italy * Peter Dolog, Aalborg University, Denmark * Juan M. Fernández-Luna, Universidad de Granada, Spain * Ignacio Fernández-Tobías, Universidad Autónoma de Madrid, Spain * Cristina Gena, Universita' degli Studi di Torino, Italy * Juan F. Huete, Universidad de Granada, Spain * Birger Larsen, Aalborg University, Denmark * Pasquale Lops, University of Bari "Aldo Moro", Italy * Alan Said, Centrum Wiskunde & Informatica, The Netherlands * Markus Schedl, Johannes Kepler University, Austria * Giovanni Semeraro, University of Bari "Aldo Moro", Italy * Nava Tintarev, University of Aberdeen, UK * David Vallet, Google, Australia -- Organizers -- * Toine Bogers (to...@hum.aau.dk), Aalborg University Copenhagen, Denmark * Marijn Koolen (marijn.koo...@uva.nl), University of Amsterdam, the Netherlands * Iván Cantador (ivan.canta...@uam.es), Universidad Autónoma de Madrid, Spain For further questions please contact a member of the organizing committee.
CfP: EC-Web 2014 Track on Search, Matchmaking, Recommender and Comparison Systems
== CALL FOR PAPERS EC-Web 2014: 15th International Conference on Electronic Commerce and Web Technologies *** Track on Search, Matchmaking, Recommender and Comparison Systems *** Munich, Germany, September 1-5, 2014 Website: http://www.ebusiness-unibw.org/events/ecweb2014 Twitter hashtag: #ecweb2014 == -- Submission deadline: April 15, 2014 Proceedings: Springer LNBIP (DBLP indexed) -- - Aim and scope - The International Conference on Electronic Commerce and Web Technologies series (EC-Web) is an established international event for presenting and discussing contributions to the theory of e-business research as a field, innovative technological approaches, empirical research, user studies, and the analysis of economic effects. In its 15th year, EC-Web aims to provide a forum for bringing together researchers who are working on advancing the field of E-Business after 25 years since the beginning of the World Wide Web. The topics of interest of the track on *** Search, Matchmaking, Recommender and Comparison Systems *** include, but are not limited to: - Search engines - Matchmaking: theory, technology and applications - Consumer decision making and buying behavior models - Recommender systems - Product comparison services - Shopping assistants - Computational advertising --- Submissions --- Authors are invited to submit original, unpublished research papers that are not under review for another conference, workshop, or journal. The contributions should address research questions from one or more of the areas listed above. We are particularly encouraging: 1. Contributions that describe and evaluate technological innovations (e.g. new methods and approaches). 2. Empirical studies (e.g. quantitative data on the effects of novel technology in technical, social, or economic terms). 3. Systematic surveys of competing techniques and paradigms. Authors are invited to submit original, unpublished research papers that are not under review for another conference, workshop, or journal. Submitted papers will be peer-reviewed by at least 3 reviewers. Papers will be evaluated according to originality, significance, technical soundness and the clarity of exposition. At least one author is required to register and present the paper. Format: - Research papers: Full papers are limited to 12 pages and short papers to 6 pages in Springer LNBIP formatting. Please follow the official Springer LNBIP formatting instructions. - Posters and demos: There will be a poster and demo session. Information on this part will be published as soon as possible. Submission system: Electronic submission of manuscripts (in PDF format) is required. Please use the ConfDriver submission system at https://confdriver.ifs.tuwien.ac.at/dexa2014/ There, select "Author Options" and then make sure to proceed to the EC-Web 2014 conference. Important dates Submission deadline:April 15, 2014, 23:59:59 CET Notification of acceptance: May 20, 2014 Camera-Ready version due: June 6, 2014 Conference:September 1-5, 2014 Search, Matchmaking, Recommender and Comparison Systems track chairs ---- - Iván Cantador, Universidad Autónoma de Madrid, Spain - Tommaso Di Noia, Technical University of Bari, Italy -- General chairs -- - Martin Hepp, Universität der Bundeswehr München, Munich, Germany - Yigal Hoffner, Shenkar College of Engineering and Design, Tel Aviv, Israel - Program committee - Please see http://www.ebusiness-unibw.org/events/ecweb2014/#organization
Submission deadline extension: ACM RecSys 2011 Workshop on Information Heterogeneity and Fusion in Recommender Systems (HetRec 2011)
* Group recommendation, oriented to several users, e.g. suggesting
tourist attractions to a group of friends, and suggesting a TV show to a
family
Datasets
In this edition of the workshop, we make available on-line datasets with
heterogeneous information from several social systems.
* hetrec11-movielens-2k: a subset of the MovieLens10M dataset with its
movie data merged with IMDb and Rotten Tomatoes. Main characteristics: 2.1K
users, 10.2K movies, 13.2K tags, 855.6K ratings.
* hetrec11-delicious-2k: a dataset that contains social networking,
bookmarking, and tagging information of a set of users from Delicious social
bookmarking system. Main characteristics: 1.8K users, 69.2K bookmarks, 53.4K
tags, 7.7K social relations.
* hetrec11-lastfm-2k: a dataset that contains social networking,
tagging, and music listening information of a set of users from Last.fm
music website. Main characteristics: 1.9K users, 17.6K artists, 11.9K tags,
186.5K listening records, 12.7K social relations.
These datasets can be used by participants to experiment and evaluate their
recommendation approaches, and be enriched with additional data, which may
be published at the workshop website for future use.
More details in:
http://ir.ii.uam.es/hetrec2011/datasets.html
Organizing Committee
++++
* Iván Cantador, Universidad Autónoma de Madrid, Spain
* Peter Brusilovsky, University of Pittsburgh, USA
* Tsvi Kuflik, University of Haifa, Israel
+++
Contact information
+++
Contact e-mail: hetrec2...@easychair.org
Final CfP: ACM RecSys 2011 Workshop on Information Heterogeneity and Fusion in Recommender Systems (HetRec 2011)
users, e.g. suggesting
tourist attractions to a group of friends, and suggesting a TV show to a
family
Datasets
In this edition of the workshop, we make available on-line datasets with
heterogeneous information from several social systems.
* hetrec11-movielens-2k: a subset of the MovieLens10M dataset with its
movie data merged with IMDb and Rotten Tomatoes. Main characteristics: 2.1K
users, 10.2K movies, 13.2K tags, 855.6K ratings.
* hetrec11-delicious-2k: a dataset that contains social networking,
bookmarking, and tagging information of a set of users from Delicious social
bookmarking system. Main characteristics: 1.8K users, 69.2K bookmarks, 53.4K
tags, 7.7K social relations.
* hetrec11-lastfm-2k: a dataset that contains social networking,
tagging, and music listening information of a set of users from Last.fm
music website. Main characteristics: 1.9K users, 17.6K artists, 11.9K tags,
186.5K listening records, 12.7K social relations.
These datasets can be used by participants to experiment and evaluate their
recommendation approaches, and be enriched with additional data, which may
be published at the workshop website for future use.
More details in:
http://ir.ii.uam.es/hetrec2011/datasets.html
Organizing Committee
++++
* Iván Cantador, Universidad Autónoma de Madrid, Spain
* Peter Brusilovsky, University of Pittsburgh, USA
* Tsvi Kuflik, University of Haifa, Israel
+++
Contact information
+++
Contact e-mail: hetrec2...@easychair.org
CfP: ACM RecSys 2011 International Workshop on Information Heterogeneity and Fusion in Recommender Systems (HetRec 2011)
ender System."
More details in:
http://ir.ii.uam.es/hetrec2011/keynote.html
Datasets
In this edition of the workshop, we make available on-line datasets with
heterogeneous information from several social systems.
* hetrec11-movielens-2k: a subset of the MovieLens10M dataset with its
movie data merged with IMDb and Rotten Tomatoes. Main characteristics: 2.1K
users, 10.2K movies, 13.2K tags, 855.6K ratings.
* hetrec11-delicious-2k: a dataset that contains social networking,
bookmarking, and tagging information of a set of users from Delicious social
bookmarking system. Main characteristics: 1.8K users, 69.2K bookmarks, 53.4K
tags, 7.7K social relations.
* hetrec11-lastfm-2k: a dataset that contains social networking,
tagging, and music listening information of a set of users from Last.fm
music website. Main characteristics: 1.9K users, 17.6K artists, 11.9K tags,
186.5K listening records, 12.7K social relations.
These datasets can be used by participants to experiment and evaluate their
recommendation approaches, and be enriched with additional data, which may
be published at the workshop website for future use.
More details in:
http://ir.ii.uam.es/hetrec2011/datasets.html
Organizing Committee
++++
* Iván Cantador, Universidad Autónoma de Madrid, Spain
* Peter Brusilovsky, University of Pittsburgh, USA
* Tsvi Kuflik, University of Haifa, Israel
+++
Contact information
+++
Contact e-mail: hetrec2...@easychair.org
CfP: ACM CIKM 2011 International Workshop on Search and Mining User-generated Contents (SMUC 2011)
[Apologies if you receive this more than once]
Final call for Papers
3rd International Workshop on Search and Mining User-generated Contents
(SMUC 2011)
28th October 2011 | Glasgow, UK
http://ir.ii.uam.es/smuc2011/
Held in conjunction with the
20th ACM Conference on Information and Knowledge Management (CIKM 2011)
http://www.cikm2011.org/
+++
Important dates
+++
* Paper submission: 24 June 2011
* Notification of acceptance: 29 July 2011
* Camera-ready: 19 August 2011
* SMUC 2011 workshop: 28 October 2011
++
Motivation
++
Nowadays, the huge amount and variety of user generated contents available
in the Web open a wide range of opportunities to enhance information
retrieval and e-commerce applications. Opinions and reviews about products,
annotations and bookmarks on multimedia resources, and friend relations in
social networks are just a few examples of personal information sources to
be exploited in order to both improve the user's experience and increase the
companies' revenues in online search and commerce activities.
As in its previous editions, SMUC 2011 aims at becoming a major
international forum for researchers and practitioners from several
information and knowledge management areas, such as text/data mining,
information extraction, and information retrieval/filtering, which focus
their work on user-generated contents in Social Media.
For SMUC workshop, we identify four main research themes into which the
above research problems can be categorized: Searching in Social Media,
Mining Social Media, Opinion Mining & Sentiment Analysis, and Multimedia
Processing and Retrieval. For all of them, we are interested in developing
and testing intelligent systems and applications, involving innovative
research from the fields of user modeling, personalization, recommendation,
information visualization, and business intelligence, to name a few.
Different research lines, backgrounds, perspectives and degrees of expertise
will be present at the workshop, and thus very interesting multidisciplinary
discussions, collaborations and work synergies between the workshop
attendees are expected as one of the main outcomes of the event.
++
Topics of interest
++
SMUC workshop represents a multidisciplinary forum for researchers and
practitioners that work on knowledge extraction, management and exploitation
in Social Media, and belong to different, but complementary fields such as
Web (content/structure/usage) mining, information retrieval, opinion mining
and sentiment analysis, user modeling, personalization and recommendation,
and multimedia processing and retrieval.
Topics of interest include, but are not limited to:
* Searching in Social Media
- Social search and ranking algorithms
- Multi-entity search
- Multifaceted search
- Distributed and high performance algorithms: scalability and
efficiency
* Mining Social Media
- Knowledge discovery in Social Media
- Social network analysis/mining, community detection and evolution
- Collaborative tagging analysis/mining
- Topic detection, and trend discovery
- Influence, trust, and privacy analysis
- Spamming, phishing, and vandalism detection
- Cross-lingual and cross-domain text mining
* Opinion Mining and Sentiment Analysis
- Opinion extraction, classification, summarization, and
visualization
- Irony detection
- Plagiarism detection of duplicate or near-duplicate opinions
- Temporal sentiment analysis
- Cross-lingual and cross-domain sentiment analysis
- Blog analysis, and micro-blog mining
- Product review analysis
* Multimedia processing and retrieval in Social Media
- Multimedia information extraction and retrieval in Social Media
- Multimodal retrieval
- Audio, music and video (clip) processing and analysis
- Context-based multimedia retrieval
- Detection of cyber-bullying, cyber-stalking, cyber-pedophilia
* Intelligent systems & applications in Social Media
- User modeling, personalization, and recommender systems
- Market analysis, and Business Intelligence applications (direct
marketing, branding, etc.)
Organizing Committee
++++
* Iván Cantador, Universidad Autónoma de Madrid, Spain
* Francisco M. Carrero, BrainSINS & Universidad Europea de Madrid, Spain
* José C. Cortizo, BrainSINS & Universidad Europea de Madrid, Spain
* Paolo Rosso, Universidad Politécnica de Valencia, Spain
* Markus Schedl, Johannes Kepler University, Austria
* José A. Troyano, Universidad de Sevilla, Spain
+
Final CfP: Workshop on Knowledge Extraction and Exploitation from semi-Structured Online Sources (KEESOS 2011)
[Apologies if you receive this more than once] === Workshop on Knowledge Extraction and Exploitation from semi-Structured Online Sources (KEESOS 2011) http://ir.ii.uam.es/keesos2011 organised in conjunction with XIV Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2011) La Laguna, Tenerife, 7th-11th November 2011 Paper submission deadline: 22nd May 2011 (extended) === DESCRIPTION The amount of unstructured or semi-structured online information in the current Web is growing exponentially. Providing structure to this information by (semi)automatic means has become an increasingly appealing goal along the last decade. Deriving structure greatly enhances the utility and value of this wealth of information, as it enables a much more efficient, effective, and flexible use of online information by different types of applications. Automatically handling unstructured information sources, and extracting structure from them, are challenging tasks that have been addressed by Artificial Intelligence research. The problem involves issues of knowledge extraction, knowledge representation and analysis, which need to be addressed in order to subsequently exploit the extracted structure in a wide range of applications. In this workshop we aim to organise a multidisciplinary event for researchers and specialists from different areas of Artificial Intelligence, interested in the extraction and exploitation of semi-structured online information sources. It aims to be a forum for the presentation and discussion of shared problems and techniques from different disciplines, seeking to stir synergies and collaborations among participants, under the common frame of semi-structured information: how can it be obtained? From which online information sources? How can it be processed and elaborated? What can it be used for? How can it be applied? Which research areas and applications can make a better use of structured information? We invite the submission of papers analysing techniques to build structured information from the Web, including as of particular interest- social media sources, such as social networks, blogs, forums, wikis, and folksonomies. Papers analysing the practical aspects of the exploitation of automatically extracted knowledge are also welcome, in particular, those proposing and analysing specific methods, tools, and techniques from stable Artificial Intelligence disciplines. TOPICS Topics of interest include, but are not limited to: * Structure extraction from online sources Methods, tools, and techniques to extract structured information from the Web, involving aspects such as: - Automatic entity recognition - Attribute extraction - Recognition of semantic relations - Semantic annotation of Web texts - Automatic building and population of ontologies - Semantic enrichment in social networks - Semantic annotation of blogs, wikis, and forums - Semantic extension of folksonomies * Exploitation of semi-structured information Analysis, methods and experiences in the exploitation of semi-structured information in areas including but not limited to- the following: - Natural language processing - Machine learning - Automatic reasoning - Information retrieval - Recommender systems - User modelling and personalisation - Opinion mining and sentiment analysis - Multimedia: image and video semantic processing IMPORTANT DATES * Paper submission deadline: 22nd May 2011 (extended) * Notification of acceptance: 7th July 2011 * Camera-ready version due: 31st July ORGANIZERS * Alejandro Bellogín, Universidad Autónoma de Madrid * Iván Cantador, Universidad Autónoma de Madrid * Pablo Castells, Universidad Autónoma de Madrid
CfP: ACM RecSys 2011 International Workshop on Information Heterogeneity and Fusion in Recommender Systems (HetRec 2011)
the MovieLens10M dataset with its movie data merged with IMDb and Rotten Tomatoes. Main characteristics: 2113 users, 10197 movies, 13222 tags, 855598 ratings. * hetrec11-delicious-2k: a dataset that contains social networking, bookmarking, and tagging information of a set of users from Delicious social bookmarking system. Main characteristics: 1867 users, 69226 bookmarks, 53388 tags, 7668 social relations. * hetrec11-lastfm-2k: a dataset that contains social networking, tagging, and music listening information of a set of users from Last.fm music website. To be released. These datasets can be used by participants to experiment and evaluate their recommendation approaches, and be enriched with additional data, which may be published at the workshop website for future use. Organizing Committee * Iván Cantador, Universidad Autónoma de Madrid, Spain * Peter Brusilovsky, University of Pittsburgh, USA * Tsvi Kuflik, University of Haifa, Israel +++ Contact information +++ Contact e-mail: hetrec2...@easychair.org
CfP: Workshop on Knowledge Extraction and Exploitation from semi-Structured Online Sources (KEESOS 2011)
[Apologies if you receive this more than once] === Workshop on Knowledge Extraction and Exploitation from semi-Structured Online Sources (KEESOS 2011) organised in conjunction with XIV Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2011) La Laguna, Tenerife, 7th-11th November 2011 Paper submission deadline: 15th May 2011 <http://ir.ii.uam.es/keesos2011> http://ir.ii.uam.es/keesos2011 === DESCRIPTION The amount of unstructured or semi-structured online information in the current Web is growing exponentially. Providing structure to this information by (semi)automatic means has become an increasingly appealing goal along the last decade. Deriving structure greatly enhances the utility and value of this wealth of information, as it enables a much more efficient, effective, and flexible use of online information by different types of applications. Automatically handling unstructured information sources, and extracting structure from them, are challenging tasks that have been addressed by Artificial Intelligence research. The problem involves issues of knowledge extraction, knowledge representation and analysis, which need to be addressed in order to subsequently exploit the extracted structure in a wide range of applications. In this workshop we aim to organise a multidisciplinary event for researchers and specialists from different areas of Artificial Intelligence, interested in the extraction and exploitation of semi-structured online information sources. It aims to be a forum for the presentation and discussion of shared problems and techniques from different disciplines, seeking to stir synergies and collaborations among participants, under the common frame of semi-structured information: how can it be obtained? From which online information sources? How can it be processed and elaborated? What can it be used for? How can it be applied? Which research areas and applications can make a better use of structured information? We invite the submission of papers analysing techniques to build structured information from the Web, including as of particular interest- social media sources, such as social networks, blogs, forums, wikis, and folksonomies. Papers analysing the practical aspects of the exploitation of automatically extracted knowledge are also welcome, in particular, those proposing and analysing specific methods, tools, and techniques from stable Artificial Intelligence disciplines. TOPICS Topics of interest include, but are not limited to: * Structure extraction from online sources Methods, tools, and techniques to extract structured information from the Web, involving aspects such as: - Automatic entity recognition - Attribute extraction - Recognition of semantic relations - Semantic annotation of Web texts - Automatic building and population of ontologies - Semantic enrichment in social networks - Semantic annotation of blogs, wikis, and forums - Semantic extension of folksonomies * Exploitation of semi-structured information Analysis, methods and experiences in the exploitation of semi-structured information in areas including but not limited to- the following: - Natural language processing - Machine learning - Automatic reasoning - Information retrieval - Recommender systems - User modelling and personalisation - Opinion mining and sentiment analysis - Multimedia: image and video semantic processing IMPORTANT DATES * Paper submission deadline: 15th May * Notification: 30th June * Camera-ready version due: 31st July ORGANIZERS * Alejandro Bellogín, Universidad Autónoma de Madrid * Iván Cantador, Universidad Autónoma de Madrid * Pablo Castells, Universidad Autónoma de Madrid PROGRAMME COMMITTEE * Rosa M. Carro, Universidad Autónoma de Madrid * Óscar Corcho, Universidad Politécnica de Madrid * José C. Cortizo, Universidad Europea de Madrid & BrainSINS * Fernando Díez, Universidad Autónoma de Madrid * Miriam Fernández, The Open University, United Kingdom * Juan M. Fernández-Luna, Universidad de Granada * Víctor Fresno, Universidad Nacional de Educación a Distancia * Enrique Frías, Teléfonica I+D * Raúl García-Castro, Universidad Politécnica de Madrid * Asunción Gómez-Pérez, Universidad Politécnica de Madrid * Julio Gonzalo, Universidad Nacional de Educación a Distancia * Jorge Gracia, Universidad Politécnica de Madrid * Juan F. Huete, Universidad de Granada * María T. Linaza, VICOMTech * David Losada, Universidad de Santiago de Compostela * Álvaro Ortigosa, Universidad Autónoma de Madrid * José J. Pazos Arias, Universidad de Vigo * Carlos Pedrinaci, The Open University, United Kingdom * Paolo Rosso, Universidad Politécnica de Valencia * Marc Torrens, Strands * José A. Troyano, Universidad de Sevilla * David Vallet, Universidad Autónoma de Madri
CfP: Workshop on Knowledge Extraction and Exploitation from semi-Structured Online Sources (KEESOS 2011)
[Apologies if you receive this more than once] Workshop on Knowledge Extraction and Exploitation from semi-Structured Online Sources (KEESOS 2011) organised in conjunction with XIV Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2011) La Laguna, Tenerife, 7th-11th November 2011 Paper submission deadline: 15th May 2011 http://ir.ii.uam.es/keesos2011 DESCRIPTION The amount of unstructured or semi-structured online information in the current Web is growing exponentially. Providing structure to this information by (semi)automatic means has become an increasingly appealing goal along the last decade. Deriving structure greatly enhances the utility and value of this wealth of information, as it enables a much more efficient, effective, and flexible use of online information by different types of applications. Automatically handling unstructured information sources, and extracting structure from them, are challenging tasks that have been addressed by Artificial Intelligence research. The problem involves issues of knowledge extraction, knowledge representation and analysis, which need to be addressed in order to subsequently exploit the extracted structure in a wide range of applications. In this workshop we aim to organise a multidisciplinary event for researchers and specialists from different areas of Artificial Intelligence, interested in the extraction and exploitation of semi-structured online information sources. It aims to be a forum for the presentation and discussion of shared problems and techniques from different disciplines, seeking to stir synergies and collaborations among participants, under the common frame of semi-structured information: how can it be obtained? From which online information sources? How can it be processed and elaborated? What can it be used for? How can it be applied? Which research areas and applications can make a better use of structured information? We invite the submission of papers analysing techniques to build structured information from the Web, including -as of particular interest- social media sources, such as social networks, blogs, forums, wikis, and folksonomies. Papers analysing the practical aspects of the exploitation of automatically extracted knowledge are also welcome, in particular, those proposing and analysing specific methods, tools, and techniques from stable Artificial Intelligence disciplines. TOPICS OF INTEREST Topics of interest include, but are not limited to: * Structure extraction from online sources Methods, tools, and techniques to extract structured information from the Web, involving aspects such as: - Automatic entity recognition - Attribute extraction - Recognition of semantic relations - Semantic annotation of Web texts - Automatic building and population of ontologies - Semantic enrichment in social networks - Semantic annotation of blogs, wikis, and forums - Semantic extension of folksonomies * Exploitation of semi-structured information Analysis, methods and experiences in the exploitation of semi-structured information in areas including -but not limited to the following: - Natural language processing - Machine learning - Automatic reasoning - Information retrieval - Recommender systems - User modelling and personalisation - Opinion mining and sentiment analysis - Multimedia: image and video semantic processing IMPORTANT DATES * Paper submission deadline: 15th May * Notification: 30th June * Camera-ready version due: 31st July ORGANISERS * Alejandro Bellogín, Universidad Autónoma de Madrid * Iván Cantador, Universidad Autónoma de Madrid * Pablo Castells, Universidad Autónoma de Madrid PROGRAMME COMMITTEE * Rosa M. Carro, Universidad Autónoma de Madrid * Óscar Corcho, Universidad Politécnica de Madrid * José C. Cortizo, Universidad Europea de Madrid & BrainSINS * Fernando Díez, Universidad Autónoma de Madrid * Miriam Fernández, The Open University, United Kingdom * Juan M. Fernández-Luna, Universidad de Granada * Víctor Fresno, Universidad Nacional de Educación a Distancia * Enrique Frías, Teléfonica I+D * Raúl García-Castro, Universidad Politécnica de Madrid * Asunción Gómez-Pérez, Universidad Politécnica de Madrid * Julio Gonzalo, Universidad Nacional de Educación a Distancia * Jorge Gracia, Universidad Politécnica de Madrid * Juan F. Huete, Universidad de Granada * María T. Linaza, VICOMTech * David Losada, Universidad de Santiago de Compostela * Álvaro Ortigosa, Universidad Autónoma de Madrid * José J. Pazos Arias, Universidad de Vigo * Carlos Pedrinaci, The Open University, United Kingdom * Paolo Rosso, Universidad Politécnica de Valencia *
CfP: RecSys 2010 International Workshop on Information Heterogeneity and Fusion in Recommender Systems (HetRec 2010)
, interests, needs, goals, mood, etc. * Cross domain recommendations, based on user preferences about different interest aspects (e.g., by merging movie and music tastes) * Cross representation recommendations, considering diverse sources of user preferences: explicit and implicit feedback Heterogeneity and fusion of information in recommended resources * Recommendation of resources of different nature: news, reviews, scientific papers, etc. * Recommendation of resources belonging to different multimedia: text, image, audio, video * Recommendation of resources annotated in different languages Heterogeneity and fusion of information in contextual features * Contextualisation of user preferences (e.g., user preferences at work, on holidays, etc.) * Cross context recommendations (e.g., by merging information about location, time, social aspects, etc.) * Multi-dimensional recommendation based on several contextual features (e.g., physical and social environment, device and network settings, external events, etc.) Organizing Committee * Peter Brusilovsky, University of Pittsburgh, USA * Iván Cantador, Universidad Autónoma de Madrid, Spain * Yehuda Koren, Yahoo! Labs * Tsvi Kuflik, University of Haifa, Israel * Markus Weimer, Yahoo! Labs +++ Contact information +++ Contact e-mail: hetrec2...@easychair.org
CfP: RecSys 2010 International Workshop on Information Heterogeneity and Fusion in Recommender Systems (HetRec 2010)
. * Cross domain recommendations, based on user preferences about different interest aspects (e.g., by merging movie and music tastes) * Cross representation recommendations, considering diverse sources of user preferences: explicit and implicit feedback Heterogeneity and fusion of information in recommended resources * Recommendation of resources of different nature: news, reviews, scientific papers, etc. * Recommendation of resources belonging to different multimedia: text, image, audio, video * Recommendation of resources annotated in different languages Heterogeneity and fusion of information in contextual features * Contextualisation of user preferences (e.g., user preferences at work, on holidays, etc.) * Cross context recommendations (e.g., by merging information about location, time, social aspects, etc.) * Multi-dimensional recommendation based on several contextual features (e.g., physical and social environment, device and network settings, external events, etc.) Organizing Committee * Peter Brusilovsky, University of Pittsburgh, USA * Iván Cantador, Universidad Autónoma de Madrid, Spain * Yehuda Koren, Yahoo! Labs * Tsvi Kuflik, University of Haifa, Israel * Markus Weimer, Yahoo! Labs +++ Contact information +++ Contact e-mail: hetrec2...@easychair.org
CfP: RecSys 2010 International Workshop on Information Heterogeneity and Fusion in Recommender Systems (HetRec 2010)
. * Cross domain recommendations, based on user preferences about different interest aspects (e.g., by merging movie and music tastes) * Cross representation recommendations, considering diverse sources of user preferences: explicit and implicit feedback Heterogeneity and fusion of information in recommended resources * Recommendation of resources of different nature: news, reviews, scientific papers, etc. * Recommendation of resources belonging to different multimedia: text, image, audio, video * Recommendation of resources annotated in different languages Heterogeneity and fusion of information in contextual features * Contextualisation of user preferences (e.g., user preferences at work, on holidays, etc.) * Cross context recommendations (e.g., by merging information about location, time, social aspects, etc.) * Multi-dimensional recommendation based on several contextual features (e.g., physical and social environment, device and network settings, external events, etc.) Organizing Committee * Peter Brusilovsky, University of Pittsburgh, USA * Iván Cantador, Universidad Autónoma de Madrid, Spain * Yehuda Koren, Yahoo! Labs * Tsvi Kuflik, University of Haifa, Israel * Markus Weimer, Yahoo! Labs +++ Contact information +++ Contact e-mail: hetrec2...@easychair.org
ESWC 2010 CfP: Workshop on Adaptation, Personalization and REcommendation in the Social-semantic Web (APRESW 2010)
[Apologies if you receive this more than once] Call for Papers (submission deadline extension) 1st International Workshop on Adaptation, Personalization and REcommendation in the Social-semantic Web (APRESW 2010) 31 May 2010 | Heraklion, Greece http://ir.ii.uam.es/apresw2010/ In conjunction with the 7th Extended Semantic Web Conference (ESWC 2010) http://www.eswc2010.org/ +++ Important dates +++ * Paper submission: 15 March 2010 (extended) * Notification of paper acceptance/rejection: 5 April 2010 * Camera-ready copies of accepted papers: 18 April, 2010 * APRESW 2010 Workshop: 31 May 2010 ++ Motivation ++ During the last years, researchers and practitioners of the Semantic Web have progressively consolidated a number of very important achievements. Formal languages have been standardized to define ontology-based knowledge representations, logic formalisms and query models. Ontology engineering methodologies and tools have been proposed to ease the designing and populating of ontological knowledge bases. Reasoning engines have been implemented to exploit inference capabilities of ontologies, and semantic-based frameworks have been built to enrich the functionalities of Web services. These achievements are the pillars to deal with the complex challenge of bringing semantics to the Web. The above gives a new ground to extend the focus of the Semantic Web by engaging it in other communities, where semantics can play an important role. The available semantic knowledge bases can be used to enrich and link additional repositories, ontology engineering techniques can be utilized to properly design and build ontologies in further real-world domains, and inference and query mechanisms can enhance classic information management and retrieval approaches. Among these communities, this workshop aims to attract the attention of students and professionals both from academia and industry who take benefit of semantic-based techniques and technologies in within-application Adaptation, Personalization and Recommendation approaches. In parallel to the progress made in the Semantic Web research topics, there have been appearing works in the above areas that use ontologies to model the users preferences, tastes and interests, and exploit these personal features together with meta-information about multimedia contents in order to provide the user with adaptation and personalization capabilities for different purposes such as information retrieval and item recommendation. Moreover, with the advent of the Web 2.0 (also called the Social Web), the potential study and development of those approaches have increased exponentially. Social networks allow people to provide explicit relationships with others, and find out implicit user similarities based on their profiles. Social tagging services offer the opportunity to easily create and exploit personal knowledge representations. Wiki-style sites represent an environment where the community contributes and shares information, and blogs are media in which users express subjective opinions. In all of these scenarios, adaptation, personalization and recommendation are core functionalities. However, the understanding and exploitation of the semantics underlying user and item profiles are still open issues. ++ Topics of interest ++ The workshop will focus on establishing user/usage models for adaptation, personalization and recommendation approaches for the Social-semantic Web. Topics of interest include, but are not limited to the exploitation of the Web of Data, the identification of semantics underlying social annotations of multimedia contents, and the application of semantic-based techniques and technologies in research fields related to: * Personalized access to multimedia content * Content-based recommendation and collaborative filtering * Adaptive exploration of multimedia content * Adaptive user interfaces for multimedia content browsing and searching * Community extraction and exploitation * Social networks analysis for collaborative recommendation * User profile construction based on social tagging information * Context-aware multimedia content access and delivery * Mobile and ubiquitous multimedia content access and delivery Organizing Committee * Iván Cantador, Universidad Autónoma de Madrid, Spain * Peter Mika, Yahoo! Research, Spain * David Vallet, Universidad Autónoma de Madrid, Spain * José C. Cortizo, Universidad Europea de Madrid, Spain * Francisco M. Carrero, Universidad Europea de Madrid, Spain +++ Programme Committee +++ * Sofia Angeletou, Knowledge Media
ESWC 2010 2nd CfP: Workshop on Adaptation, Personalization and REcommendation in the Social-semantic Web (APRESW 2010)
[Apologies if you receive this more than once] 2nd Call for Papers 1st International Workshop on Adaptation, Personalization and REcommendation in the Social-semantic Web (APRESW 2010) 30 or 31 May 2010 | Heraklion, Greece http://ir.ii.uam.es/apresw2010/ In conjunction with the 7th Extended Semantic Web Conference (ESWC 2010) http://www.eswc2010.org/ +++ Important dates +++ * Paper submission: 7 March 2010 * Notification of paper acceptance/rejection: 5 April 2010 * Camera-ready copies of accepted papers: 18 April, 2010 * APRESW 2010 Workshop: 30 or 31 May 2010 ++ Motivation ++ During the last years, researchers and practitioners of the Semantic Web have progressively consolidated a number of very important achievements. Formal languages have been standardized to define ontology-based knowledge representations, logic formalisms and query models. Ontology engineering methodologies and tools have been proposed to ease the designing and populating of ontological knowledge bases. Reasoning engines have been implemented to exploit inference capabilities of ontologies, and semantic-based frameworks have been built to enrich the functionalities of Web services. These achievements are the pillars to deal with the complex challenge of bringing semantics to the Web. The above gives a new ground to extend the focus of the Semantic Web by engaging it in other communities, where semantics can play an important role. The available semantic knowledge bases can be used to enrich and link additional repositories, ontology engineering techniques can be utilized to properly design and build ontologies in further real-world domains, and inference and query mechanisms can enhance classic information management and retrieval approaches. Among these communities, this workshop aims to attract the attention of students and professionals both from academia and industry who take benefit of semantic-based techniques and technologies in within-application Adaptation, Personalization and Recommendation approaches. In parallel to the progress made in the Semantic Web research topics, there have been appearing works in the above areas that use ontologies to model the users preferences, tastes and interests, and exploit these personal features together with meta-information about multimedia contents in order to provide the user with adaptation and personalization capabilities for different purposes such as information retrieval and item recommendation. Moreover, with the advent of the Web 2.0 (also called the Social Web), the potential study and development of those approaches have increased exponentially. Social networks allow people to provide explicit relationships with others, and find out implicit user similarities based on their profiles. Social tagging services offer the opportunity to easily create and exploit personal knowledge representations. Wiki-style sites represent an environment where the community contributes and shares information, and blogs are media in which users express subjective opinions. In all of these scenarios, adaptation, personalization and recommendation are core functionalities. However, the understanding and exploitation of the semantics underlying user and item profiles are still open issues. ++ Topics of interest ++ The workshop will focus on establishing user/usage models for adaptation, personalization and recommendation approaches for the Social-semantic Web. Topics of interest include, but are not limited to the exploitation of the Web of Data, the identification of semantics underlying social annotations of multimedia contents, and the application of semantic-based techniques and technologies in research fields related to: * Personalized access to multimedia content * Content-based recommendation and collaborative filtering * Adaptive exploration of multimedia content * Adaptive user interfaces for multimedia content browsing and searching * Community extraction and exploitation * Social networks analysis for collaborative recommendation * User profile construction based on social tagging information * Context-aware multimedia content access and delivery * Mobile and ubiquitous multimedia content access and delivery Organizing Committee * Iván Cantador, Universidad Autónoma de Madrid, Spain * Peter Mika, Yahoo! Research, Spain * David Vallet, Universidad Autónoma de Madrid, Spain * José C. Cortizo, Universidad Europea de Madrid, Spain * Francisco M. Carrero, Universidad Europea de Madrid, Spain + Program Committee + * Sofia Angeletou, Knowledge Media Institute, The Open University, UK
ESWC 2010 CfP: Workshop on Adaptation, Personalization and REcommendation in the Social-semantic Web (APRESW 2010)
[Apologies if you receive this more than once] Call for Papers 1st International Workshop on Adaptation, Personalization and REcommendation in the Social-semantic Web (APRESW 2010) 30 or 31 May 2010 | Heraklion, Greece http://nets.ii.uam.es/apresw2010/ In conjunction with the 7th Extended Semantic Web Conference (ESWC 2010) http://www.eswc2010.org/ +++ Important dates +++ * Paper submission: 7 March 2010 * Notificacion of paper acceptance/rejection: 5 April 2010 * Camera-ready copies of accepted papers: 18 April 18, 2010 * APRESW 2010 Workshop: 30 or 31 May 2010 ++ Motivation ++ During the last years, researchers and practitioners of the Semantic Web have progressively consolidated a number of very important achievements. Formal languages have been standardized to define ontology-based knowledge representations, logic formalisms and query models. Ontology engineering methodologies and tools have been proposed to ease the designing and populating of ontological knowledge bases. Reasoning engines have been implemented to exploit inference capabilities of ontologies, and semantic-based frameworks have been built to enrich the functionalities of Web services. These achievements are the pillars to deal with the complex challenge of bringing semantics to the Web. The above gives a new ground to extend the focus of the Semantic Web by engaging it in other communities, where semantics can play an important role. The available semantic knowledge bases can be used to enrich and link additional repositories, ontology engineering techniques can be utilized to properly design and build ontologies in further real-world domains, and inference and query mechanisms can enhance classic information management and retrieval approaches. Among these communities, this workshop aims to attract the attention of students and professionals both from academia and industry who take benefit of semantic-based techniques and technologies in within-application Adaptation, Personalization and Recommendation approaches. In parallel to the progress made in the Semantic Web research topics, there have been appearing works in the above areas that use ontologies to model the users preferences, tastes and interests, and exploit these personal features together with meta-information about multimedia contents in order to provide the user with adaptation and personalization capabilities for different purposes such as information retrieval and item recommendation. Moreover, with the advent of the Web 2.0 (also called the Social Web), the potential study and development of those approaches have increased exponentially. Social networks allow people to provide explicit relationships with others, and find out implicit user similarities based on their profiles. Social tagging services offer the opportunity to easily create and exploit personal knowledge representations. Wiki-style sites represent an environment where the community contributes and shares information, and blogs are media in which users express subjective opinions. In all of these scenarios, adaptation, personalization and recommendation are core functionalities. However, the understanding and exploitation of the semantics underlying user and item profiles are still open issues. ++ Topics of interest ++ The workshop will focus on establishing user/usage models for adaptation, personalization and recommendation approaches for the Social-semantic Web. Topics of interest include, but are not limited to the exploitation of the Web of Data, the identification of semantics underlying social annotations of multimedia contents, and the application of semantic-based techniques and technologies in research fields related to: * Personalized access to multimedia content * Content-based recommendation and collaborative filtering * Adaptive exploration of multimedia content * Adaptive user interfaces for multimedia content browsing and searching * Community extraction and exploitation * Social networks analysis for collaborative recommendation * User profile construction based on social tagging information * Context-aware multimedia content access and delivery * Mobile and ubiquitous multimedia content access and delivery Organizing Committee * Iván Cantador, Universidad Autónoma de Madrid, Spain * Peter Mika, Yahoo! Research, Spain * David Vallet, Universidad Autónoma de Madrid, Spain * José C. Cortizo, Universidad Europea de Madrid, Spain * Francisco M. Carrero, Universidad Europea de Madrid, Spain + Program Committee + * Sofia Angeletou, Knowledge Media Institute, The Open University, UK
