Author of the publication

CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System.

, , , , , , , , and . ACM Trans. Inf. Syst., 42 (1): 14:1-14:27 (January 2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System., , , , , , , , and . CoRR, (2022)EasyRL4Rec: A User-Friendly Code Library for Reinforcement Learning Based Recommender Systems., , , , , , , and . CoRR, (2024)Generating Reliable Friends via Adversarial Training to Improve Social Recommendation., , , , , and . ICDM, page 768-777. IEEE, (2019)BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation., , , , and . DASFAA (3), volume 11448 of Lecture Notes in Computer Science, page 487-490. Springer, (2019)KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems., , , , , , , , and . CIKM, page 540-550. ACM, (2022)KuaiRec: A Fully-observed Dataset for Recommender Systems., , , , , , , , and . CoRR, (2022)KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos., , , , , , , and . CIKM, page 3953-3957. ACM, (2022)On the Theories Behind Hard Negative Sampling for Recommendation., , , , , , and . WWW, page 812-822. ACM, (2023)RecAD: Towards A Unified Library for Recommender Attack and Defense., , , , , and . RecSys, page 234-244. ACM, (2023)How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective., , , , , and . CoRR, (2024)