Personal Assistant Systems
Modeling Dynamic Missingness of Implicit Feedback for Recommendation
Menghan Wang, Mingming Gong, Xiaolin Zheng, Kun Zhang
Collaborative filtering methods based on implicit feedback (e.g., purchase records and browsing history) are widely used in recommender systems. Compared to explicit feedback (e.g., 1-5 star ratings), implicit feedback is more abundant and accessible in real-world applications. However, the missing data of implicit feedback also brings two challenges.
The Morning After: Meta turned Threads algorithm complaints into an official feature
Samsung Galaxy Unpacked 2026 is Feb. 25 Valve's Steam Machine: Everything we know Dear algo posts on Threads will change your recommendations for three days. Threads users have complained about its recommendation algorithm since 2023. Users even started writing posts addressed to the algorithm, specifying the topics they wanted to see more of. Now, that's part of the system: Users can write a post that begins with "dear algo" to adjust their preferences, officially. For example, you could write: "Dear algo, show me more posts about sous vide recipes."