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The Footprint of Factorization Models and Their Applications in Collaborative Filtering.

, , , and . ACM Trans. Inf. Syst., 40 (4): 71:1-71:32 (2022)

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Information gain-based metric for recognizing transitions in human activities, , and . Pervasive and Mobile Computing, (2017)Differential privacy for neighborhood-based collaborative filtering., , , , and . ASONAM, page 752-759. ACM, (2013)Learning Rating Patterns for Top-N Recommendations., , and . ASONAM, page 472-479. IEEE Computer Society, (2012)Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation., , , , and . SIGIR, page 841-850. ACM, (2020)Dynamic Bi-layer Graph Learning for Context-aware Sequential Recommendation., , , , , and . Trans. Recomm. Syst., 2 (2): 14:1-14:23 (June 2024)OccuSpace: Towards a Robust Occupancy Prediction System for Activity Based Workplace., , , , , , , , and . PerCom Workshops, page 415-418. IEEE, (2019)Contextual Location Imputation for Confined WiFi Trajectories., , , and . PAKDD (2), volume 10938 of Lecture Notes in Computer Science, page 444-457. Springer, (2018)Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction., , , , , and . CoRR, (2023)PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series., , , and . ICDM, page 976-981. IEEE, (2021)FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback., , and . WWW, page 297-307. ACM, (2022)