Event Schedule
Date: May 29th - June 28th, 2024, PST
Location: Online
May 29th 8 p.m. PST
- Prompt Release and Kickoff (on Zoom)
June 16th
- Registration Deadline
June 21st
- First Round Submission
June 27th
- Second Round Submission
June 28th 4-6 p.m. PST
- Judging Day (on Zoom)
Objectives
(Detailed prompt release on May 29th)
Leverage predictive modeling to enhance forecasts of user engagement and interactions with content. The challenge lies in refining the accuracy and efficiency of these predictions, crucial for content publishers and advertisers focused on optimizing user experiences and advertising effectiveness.
Participants will utilize 2 comprehensive datasets that detail user demographics, user interactions, engagement metrics, and advertisement specifics from both the content publishers' and advertisers' perspectives. By employing innovative data analytics and machine learning techniques, participants will tackle this dual challenge and cultivate an engaging user experience that drives the digital publishing and advertising industries.
Judging Panel
Professor Guang Cheng, director of Trustworthy AI Lab, UCLA
Dr. Chi-hua Wang, Postdoc at the Trustworthy AI Lab, UCLA
Mr. Minrui Gui, PhD student at the Trustworthy AI Lab, UCLA
Mr. Shaoqing Yuan, Senior Applied Scientist, Amazon
Mr. Harry Xu, Machine Learning Engineer, Snap
Mr. Ken Lu, Chief Cloud System Architect, Intel
Prize Pool Details
- Prize Pool: $300(third), $500(second), $700(first)
- Total Prize Pool Allocation: $1500
- Additional Benefit: offer summer internship working in the Trustworthy AI Lab @ UCLA. Past summer interns have gone on to attend top graduate schools, such as Berkeley and Princeton.