Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Explore a 13-minute conference presentation from SIGIR 2024 that delves into treatment effect estimation methods for understanding user interest exploration in recommender systems. Learn from researchers Jiaju Chen, Wenjie Wang, Chongming Gao, Peng Wu, Jianxiong Wei, and Qingsong Hua as they present their findings on long-term and session-based recommendation techniques. Gain insights into how treatment effects can be measured and utilized to better understand user behavior and improve recommendation system performance.
