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 Personal Assistant Systems




Modeling Dynamic Missingness of Implicit Feedback for Recommendation

Neural Information Processing Systems

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

Engadget

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."




State Regularized Policy Optimization on Data with Dynamics Shift

Neural Information Processing Systems

We then demonstrate a lower-bound performance guarantee on policies regularized by the stationary state distribution. In practice, SRPO can be an add-on module to context-based algorithms in both online and offline RL settings.



Catfishing a conman back on dating app days after jail release

BBC News

Within days of being released from his seventh prison term for romance fraud, Raymond McDonald was back on a dating app looking for his next victim. Over more than 20 years he had racked up 58 convictions, mostly for fraud and theft, while telling lies on an industrial scale and taking thousands of pounds from women for holidays and weddings which were never going to happen. This time when he went looking, the BBC was waiting. He thought he was having a date with Kaye, but instead found himself being approached by a BBC reporter and camera crew. He had met Kaye online and, calling himself Rob, told her he was a deep-sea diver looking for a wife.