Practical counterfactual policy learning for top-k recommendations
For building recommender systems, a critical task is to learn a policy with collected feedback
(eg, ratings, clicks) to decide which items to be recommended to users. However, it has been …
(eg, ratings, clicks) to decide which items to be recommended to users. However, it has been …
[PDF][PDF] Practical Counterfactual Policy Learning for Top-𝐾 Recommendations
Y Liu, JN Yen, B Yuan, R Shi, P Yan, CJ Lin - 2022 - csie.ntu.edu.tw
In many applications, users are overwhelmed by a large number of items. To satisfy their
needs more efficiently, recommender systems have been constructed to pre-select items …
needs more efficiently, recommender systems have been constructed to pre-select items …