** Deadline June 14th **
** Next week! **

===============
===============

* We apologize if you receive multiple copies of this CfP *
* For the online version of this Call, visit: 
https://cikm2024.org/call-for-analyticup-competition-proposals/

===============

CIKM 2024: 33rd ACM International Conference on Information and Knowledge 
Management
 
Boise, Idaho, USA

October 21–25, 2024

===============

CIKM 2024 AnalytiCup is an open competition including compelling data 
challenges aimed at members of the industry and academia interested in 
information and knowledge management. The challenges will be rolled out 
progressively and last for several weeks. The final solutions will be presented 
at CIKM 2024 AnalytiCup which is to be held in conjunction with the CIKM 
conference during October 2024.

--------------------------
Key Dates
--------------------------

* Proposal due: June 14 2024
* Notification: June 17 2024
* Competition Kickoff: July 1 20224
* Competition Ends: August 30, 2024

 
(All deadlines are at 11:59 pm AOE)

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Proposals Submissions
--------------------------
We invite proposals from practitioners across industry and academia who are 
interested in the areas of information retrieval, databases, and knowledge 
management. The best fit proposal should include a well-motivated goal with a 
positive social impact, a novel and challenging task, a fair setup with stable 
evaluation approach, and adequate amount of real-world data for the competition.

* A well-motivated goal: A goal of the proposed competition should be solving a 
challenging real-world problem at the same time impacting the research and 
other communities positively. A good competition is where the output of the 
competition should lead to a greater good of everyone, such proposals are 
encouraged.
* A challenging task: The task should be challenging in the sense that there is 
enough room for improvement from the basic solutions, and novel ideas are 
required to succeed in the competition. At the same time the task should be 
manageable in about 2 months’ time.
* A fair setup: The organizers should guarantee the availability of the data 
and the confidentiality of the test set. The evaluation metrics should be both 
meaningful for the application in-hand and statistically sound for the 
objective comparison. The baseline should be established to show that 
non-trivial results can be achieved.
* A real-world dataset: A proposal should clearly explain what data will be 
provided for competition and the source of the data. Also, explain how/why the 
provided data is sufficient for the competition.

A proposal should cover all the important details such as dates, submission and 
evaluation of results, etc. and describe the competition rules clearly. 

Please provide following details with your proposal:
* Title: The title of your challenge.
* Problem Description: Describe the problem clearly in detail. Explain the 
importance of the problem and its impact. Discuss different scenarios for the 
problem with its challenges and limitations. Share the simple data samples and 
explain the data clearly. If the proposed competition includes more than one 
track, please describe each track clearly and show unique value for each track.
* Evaluation: Describe how you plan to evaluate the submission. Select the 
evaluation method which is fair and statistically robust.
* Suggested Participants: Provide a list of suggested participants in the 
challenge.
* Timeline. Dates for expected start of the competition, user registration, 
team formation, submission, evaluation, and notification.
* Awards. Specify the type and form of the awards you want to share with the 
winners.
* Host information: Names, affiliations, email addresses, and short biographies 
of the organizers.
 
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Chairs Contact Information
--------------------------
For more information, contact the AnalytiCup Chairs at: CIKM2024-analyticup 
[at] easychair [dot] org 

Vachik Dave, Walmart Global Tech
Carl Yang, Emory University
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