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Aggregating Crowd Wisdoms with Label-aware Autoencoders.

, , , and . IJCAI, page 1325-1331. ijcai.org, (2017)

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Set-oriented personalized ranking for diversified top-n recommendation., , , and . RecSys, page 415-418. ACM, (2013)Aggregating Crowd Wisdoms with Label-aware Autoencoders., , , and . IJCAI, page 1325-1331. ijcai.org, (2017)Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder., , , and . IJCAI, page 1542-1548. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Aggregating Crowd Wisdom with Instance Grouping Methods., , , and . APWeb (1), volume 9931 of Lecture Notes in Computer Science, page 468-479. Springer, (2016)Collaborative Filtering via Temporal Euclidean Embedding., , and . APWeb, volume 7235 of Lecture Notes in Computer Science, page 513-520. Springer, (2012)Learning to Recommend Based on Slope One Strategy., , , and . APWeb, volume 7235 of Lecture Notes in Computer Science, page 537-544. Springer, (2012)Label Aggregation with Instance Grouping Model., , and . WWW (Companion Volume), page 135-136. ACM, (2016)LorSLIM: Low Rank Sparse Linear Methods for Top-N Recommendations., , and . ICDM, page 90-99. IEEE Computer Society, (2014)Truth Inference With a Deep Clustering-Based Aggregation Model., , , and . IEEE Access, (2020)