Research output per year
Research output per year
Search results
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2023
Metric Optimization and Mainstream Bias Mitigation in Recommender Systems
Li, R. Z., 2023, 96 p.Research output: Thesis › Dissertation (TU Delft)
Open AccessFile33 Downloads (Pure) -
Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning
Li, R. Z., Urbano, J. & Hanjalic, A., 2023, ICTIR 2023 - Proceedings of the 2023 ACM SIGIR International Conference on the Theory of Information Retrieval. Association for Computing Machinery (ACM), p. 135-142 8 p. (ICTIR 2023 - Proceedings of the 2023 ACM SIGIR International Conference on the Theory of Information Retrieval).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile31 Downloads (Pure) -
2021
Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users
Li, R. Z., Urbano, J. & Hanjalic, A., 2021, WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery (ACM), p. 103-111 9 p.Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile14 Citations (Scopus)98 Downloads (Pure) -
New Insights into Metric Optimization for Ranking-based Recommendation
Li, R. Z., Urbano, J. & Hanjalic, A., 2021, SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery (ACM), p. 932-941 10 p. 3462973. (SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile3 Citations (Scopus)39 Downloads (Pure) -
2018
Towards the next generation of multi-criteria recommender systems
Li, Z., 2018, RecSys '18 : Proceedings of the 12th ACM Conference on Recommender Systems. New York, NY: Association for Computer Machinery, p. 553-557 5 p.Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
1 Citation (Scopus)