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Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems.

, , , , , and . IEEE Trans. Big Data, 7 (1): 227-240 (2021)

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Accelerated Non-negative Latent Factor Analysis on High-Dimensional and Sparse Matrices via Generalized Momentum Method., , , and . SMC, page 3051-3056. IEEE, (2018)User-Based Collaborative-Filtering Recommendation Algorithms on Hadoop., and . WKDD, page 478-481. IEEE Computer Society, (2010)Solving Bi-objective Unconstrained Binary Quadratic Programming Problem with Multi-objective Backbone Guided Search Algorithm., , , and . ICIC (2), volume 9772 of Lecture Notes in Computer Science, page 745-753. Springer, (2016)Efficient Extraction of Non-negative Latent Factors from High-Dimensional and Sparse Matrices in Industrial Applications., , and . ICDM, page 311-319. IEEE Computer Society, (2016)A Multi-parent Crossover Based Genetic Algorithm for Bi-Objective Unconstrained Binary Quadratic Programming Problem., , , and . BIC-TA (2), volume 682 of Communications in Computer and Information Science, page 10-19. Springer, (2016)A Deep Temporal Collaborative Filtering Recommendation Framework via Joint Learning from Long and Short-Term Effects., , and . ISPA/BDCloud/SocialCom/SustainCom, page 959-966. IEEE, (2019)A self-training semi-supervised classification algorithm based on density peaks of data and differential evolution., , , and . ICNSC, page 1-6. IEEE, (2018)Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis., , and . ECAI, volume 325 of Frontiers in Artificial Intelligence and Applications, page 561-568. IOS Press, (2020)Contrastive Learning based Item Representation with Asymmetric Augmentation for Sequential Recommendation., , , and . ADMIT, page 68-73. ACM, (2023)TCR: Temporal-CNN for Reviews Based Recommendation System., , , and . ICDLT, page 71-75. ACM, (2018)