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A User Re-Modeling Approach to Item Recommendation using Complex Usage Data.

, , , and . ICTIR, page 201-208. ACM, (2017)

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Rank and rate: multi-task learning for recommender systems., , and . RecSys, page 451-454. ACM, (2018)Word Emphasis Prediction for Expressive Text to Speech., , , , , , and . INTERSPEECH, page 2868-2872. ISCA, (2018)RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS)., , , , , , and . RecSys, page 415-416. ACM, (2016)Are All Rejected Recommendations Equally Bad?: Towards Analysing Rejected Recommendations., , , and . UMAP, page 157-165. ACM, (2019)Data Quality Matters in Recommender Systems., , , , and . RecSys, page 257-260. ACM, (2015)A User Re-Modeling Approach to Item Recommendation using Complex Usage Data., , , and . ICTIR, page 201-208. ACM, (2017)A PTAS for the Square Tiling Problem., , , and . SPIRE, volume 6393 of Lecture Notes in Computer Science, page 118-126. Springer, (2010)Collaborative Image Understanding., , and . CIKM, page 77-87. ACM, (2022)Natural Language Processing for Recommender Systems., , and . Recommender Systems Handbook, Springer US, (2022)A Word is Worth a Thousand Ratings: Augmenting Ratings using Reviews for Collaborative Filtering., , , and . ICTIR, page 11-18. ACM, (2018)