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<div dir="auto"> * Apologies for cross-posting *<br />
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** Announcing CIKM2021 sponsored AnalytiCup challenge **<br />
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** QQ Browser 2021AI Algorithm Competition **<br />
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In conjunction with CIKM 2021 (<a href="https://cikm2021.org/" target="_blank">https://cikm2021.org/</a>) (1-5 November 2021)<br />
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Organized by QQ Browser.<br />
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Official task page here: <a href="https://algo.browser.qq.com/#en" target="_blank">https://algo.browser.qq.com/#en</a><br />
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Information feeds has already become an important information resource. Al algorithms are essential for understanding information in multiple modalities. QQ browser, with support from CCF TCMT and top AI conference ACM CIKM, hold the 2021 QQ Browser AI competition. There are two tracks, ‘Multimodal Video Similarity’ and ‘Automated Hyperparameter Optimization’, in this competition. We are looking forward to the great ideas and solutions from industry and academia all around the world.<br />
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Task 1 Multimodal Video Similarity: This task provides the anonymized features of 1 million short videos from QQ Browser feeds to train the video embedding model. Then, the video pair similarity scores are computed based on the embedding vectors. The predicted scores are evaluated against human-annotated ground truth using Spearman’s rank correlation.<br />
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Task 2 Automated Hyperparameter Optimization: This track aims at automated hyperparameters optimization based on anonymized realistic industrial tasks and datasets. Given the space of all possible hyperparameters' values, a reward could be achieved with a set of hyperparameters in each iteration. The participants are asked to maximize the reward within a given limit of iterations with a hyperparameters optimization algorithm.<br />
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Rules of the competition<br />
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The Competition is open to all individuals—one account per participant. Competition Organizer, Sponsors, and their respective affiliates, subsidiaries, contractors, agents, judges, and advertising and promotion agencies are not eligible to participate in the public competition. If there is one Tencent employee in your team, your team should be identified as an unofficial team and cannot take the reward in the public competition.<br />
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The score will be counted by the team. One individual can only join one team. A team could have at most 3 members. The leader must undertake joint liability for all actions of the team and members. The deadline for team joining, leaving and team name changing is 2:00 UTC+8, September 20.<br />
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The winners will be invited for a presentation in CIKM which is one of the top AI international conferences. For the date and submission details of the sharing material, please wait for further notification.<br />
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Schedule<br />
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<span style="white-space:pre">2021-08-15 12:00:00 (UTC+8): Registration opens</span><br />
<span style="white-space:pre">2021-08-15 12:00:00 (UTC+8): Preliminary round submission starts</span><br />
<span style="white-space:pre">2021-09-05 12:00:00 (UTC+8): Identity Verification deadline</span><br />
<span style="white-space:pre">2021-09-20 12:00:00 (UTC+8): Team joining, leaving and team name changing deadline</span><br />
<span style="white-space:pre">2021-09-29 11:59:59 (UTC+8): Preliminary round submission ends</span><br />
<span style="white-space:pre">2021-09-30 15:00:00 (UTC+8): Preliminary round Leaderboard final updates. The top 5% of all the teams (no more than 50 teams for each track, subject to organizer alternation) would move on to the final</span><br />
<span style="white-space:pre">2021-10-01 12:00:00 (UTC+8): Final round datasets release and submission starts</span><br />
<span style="white-space:pre">2021-10-15 11:59:59 (UTC+8): Final round submission ends</span><br />
2021-10-15 - 2021-10-30 (UTC+8): Challenge award notification, code submission and paper submission<br />
2021-11-01 - 2021- 11- 05 (UTC+10): CIKM conference<br />
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Awards<br />
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Track 1 Multimodal Content Understanding<br />
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1st place: RMB 200,000 per team<br />
2nd place: RMB 50,000 per team<br />
3rd place: RMB 20,000 per team<br />
4th place: RMB 10,000 per team<br />
5th to 20th places: RMB 3,000 per team<br />
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Track 2: HPO of recommendation System<br />
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1st place: RMB 30,000 per team<br />
2nd place: RMB 15,000 per team<br />
3rd place: RMB 10,000 per team<br />
4th to 20th places: RMB 2,000 per team<br /></div>
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<div dir="auto">Dr. Aldo <strong>Lipani</strong> | <a href="https://aldolipani.com" target="_blank">aldolipani.com</a><br />
Asst. Prof. in Machine Learning<br />
University College London (UCL)</div>
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