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Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation.

, and . UMAP, page 71-79. ACM, (2020)

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Workshop on Context-Aware Recommender Systems., , , , , and . RecSys, page 635-637. ACM, (2020)Calibration in Collaborative Filtering Recommender Systems: a User-Centered Analysis., , , and . HT, page 197-206. ACM, (2020)Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering., , , and . DaWaK, volume 5182 of Lecture Notes in Computer Science, page 196-205. Springer, (2008)Controlling Popularity Bias in Learning-to-Rank Recommendation., , and . RecSys, page 42-46. ACM, (2017)Robustness of collaborative recommendation based on association rule mining., , and . RecSys, page 105-112. ACM, (2007)Resource Recommendation in Collaborative Tagging Applications., , , and . EC-Web, volume 61 of Lecture Notes in Business Information Processing, page 1-12. Springer, (2010)Impact of Relevance Measures on the Robustness and Accuracy of Collaborative Filtering., , and . EC-Web, volume 4655 of Lecture Notes in Computer Science, page 99-108. Springer, (2007)Weighted Random Walk Sampling for Multi-Relational Recommendation., , and . UMAP, page 230-237. ACM, (2017)Exposure-Aware Recommendation using Contextual Bandits., , and . CoRR, (2022)Partitioning-based clustering for Web document categorization., , , , , , , , and . Decis. Support Syst., 27 (3): 329-341 (1999)