Call For Papers - SIGIR eCom'24 - https://sigir-ecom.github.io/
The SIGIR Workshop on eCommerce will serve as a platform for publication and discussion of Information Retrieval, NLP and Vision research relative to their applications in the domain of eCommerce. This workshop will bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to product search and recommendation in eCommerce. The deadline for paper submission is April 25, 2024 (11:59 P.M. AoE) The special theme of this year's workshop is eCommerce Search in the Age of Generative AI and LLMs. The workshop will also include a data challenge. This year we will collaborate with TREC on a product search data challenge ( https://trec-product-search.github.io/index.html). The overarching goal is to study how end-to-end retrieval systems can be built and evaluated given a large set of products. The data challenge provides a corpus of products and a set of user intents (queries): the goal is to find the product that suits the user’s needs. SIGIR eCom is a full day workshop taking place on Thursday, July 18, 2024 in conjunction with SIGIR 2024. SIGIR eCom'24 will be an in-person workshop. ________________ Important Dates: Paper submission deadline - April 25, 2024 (11:59 P.M. AoE) Notification of acceptance - May 23, 2024 Camera Ready Version of Papers Due - June 24, 2024 SIGIR eCom Full day Workshop - July 18, 2024 We invite quality research contributions, position and opinion papers addressing relevant challenges in the domain of eCommerce. We invite submission of both papers and posters. All submitted papers and posters will be single-blind and will be peer reviewed by an international program committee of researchers of high repute. Accepted submissions will be presented at the workshop. Topics: Topics of interest include, but are not limited to: - eCommerce search in the age of Generative AI and LLMs (2024 special theme) - Ranking and Whole Page Relevance - Optimization for IR and business metrics - Diversity in product search and recommendations - Relevance models for multi-faceted entities - Relevance vs. revenue - Deterministic sorts (e.g. price low to high) - Temporal dynamics and seasonality - Query and Document Understanding - Query intent, query suggestions, and auto-completion - Strategies for resolving low or zero recall queries - Converting across modalities (e.g., text, structured data, images) - Categorization and facets - Reviews and sentiment analysis - Recommendation and Personalization - Personalization & contextualization, including the use of personal facets such as age, gender, location - Privacy, bias and ethics in eCommerce IR - Blending recommendations and search results - Representations and Data - Semantic representation of products, queries, and customers - Construction and use of knowledge graphs for eCommerce - IR Fundamentals for eCommerce - Unified and universal search and recommendations - Cross-lingual search and machine translation - Indexing and search in rapidly changing environments (e.g., auction sites) - Experimentation techniques including AB testing and multi-armed bandits - Visual Search in ecommerce - Large-scale Visual Search Challenges and Solutions - Multimodal Search and combining visual and textual information - Combining Vision and language models - Explainable AI for Visual Search - Other challenges - Trust, transparency, and fairness in eCommerce - UX for eCommerce - The role of search in trust and security for marketplaces - Question answering and chatbots for eCommerce Data/Resource Track: In order to promote academic research in the eCommerce domain, we plan to accept a small number of high quality dataset contributions. These submissions should be accompanied by a clear and detailed description of the dataset, some potential questions and applications that arise from it. Preliminary empirical investigations conveying any insight about the data will increase the quality of the submission. Submission Instructions: All papers will be peer reviewed (single-blind) by the program committee and judged by their relevance to the workshop, especially to the main themes identified above, and their potential to generate discussion. Submissions must describe work that is not previously published, not accepted for publication elsewhere, and not currently under review elsewhere. All submissions must be in English. The workshop follows a single-blind reviewing process, i.e. author names must be on the papers. We do not accept anonymized submissions. At least one of the authors of each accepted paper must register for the workshop and present the paper. All submissions must be in PDF formatted according to the latest CEUR single column format; the short (8-page) and long (15-page) limits are extended to account for this. For instructions and LaTeX/Overleaf/docx templates, see: https://ceur-ws.org/HOWTOSUBMIT.html#CEURART Read up to and including the “License footnote in paper PDFs” section. Please Use Emphasizing Capitalized Style for Paper Titles. Submit your paper PDF through the SIGIR eCom’24 Easychair: https://easychair.org/conferences/?conf=sigirecom24 Long paper limit: 15 pages. References are not counted in the page limit. Short paper limit: 8 pages. References are not counted in the page limit. The deadline for paper submission is April 25, 2024 (11:59 P.M. AoE) https://sigir-ecom.github.io/
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