* 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/
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CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management
Boise, Idaho, USA
October 21–25, 2024
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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: May 31 2024 * Notification: June 7 2024 * Competition Kickoff: June 24 20224 * Competition Ends: August 30, 2024
(All deadlines are at 11:59 pm AOE)
-------------------------- 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.
-------------------------- 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