User-controllable Recommendation Against Filter Bubbles

Author:

Wang Wenjie1,Feng Fuli2,Nie Liqiang3,Chua Tat-Seng1

Affiliation:

1. National University of Singapore, Singapore, Singapore

2. University of Science and Technology of China, Hefei, China

3. Shandong University, Qingdao, China

Funder

the Sea-NExT Joint Lab

the National Natural Science Foundation of China

the Major Basic Research Project of Natural Science Foundation of Shandong Province

Publisher

ACM

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Measuring Commonality in Recommendation of Cultural Content to Strengthen Cultural Citizenship;ACM Transactions on Recommender Systems;2024-02

2. Causal Inference in Recommender Systems: A Survey and Future Directions;ACM Transactions on Information Systems;2024-01-02

3. Against Opacity: Explainable AI and Large Language Models for Effective Digital Advertising;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

4. General Debiasing for Multimodal Sentiment Analysis;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

5. Semantic-Guided Feature Distillation for Multimodal Recommendation;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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