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A recommendation algorithm using positive and negative latent models.

, and . CIDM, page 72-79. IEEE, (2011)

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Cross-Category Product Recommender System based on Multi-Criteria Rating using Diversity and Novelty Evaluation., , , and . JCSSE, page 193-198. IEEE, (2019)Latent Probabilistic Model for Context-Aware Recommendations., , and . Web Intelligence, page 95-100. IEEE Computer Society, (2013)Translation-based Embedding Model for Rating Conversion in Recommender Systems., , and . WI, page 217-224. ACM, (2019)Bayesian probabilistic model for context-aware recommendations., , , and . iiWAS, page 22:1-22:10. ACM, (2015)Combining Dynamic Agents and Collaborative Filtering without Sparsity Rating Problem for Better Recommendation Quality., , and . DELOS, volume 01/W03 of ERCIM Workshop Proceedings, ERCIM, (2001)User Embedding Sharing with Deep Canonical Correlation Analysis for Dual-Target Cross-Domain Recommender System., , and . WI/IAT, page 111-118. IEEE, (2022)Applying ant-colony concepts to trust-based recommender systems., , and . iiWAS, page 34-41. ACM, (2016)Personalized Preference Drift Aware Sequential Recommender System., and . IEEE Access, (2021)A Hotel Hybrid Recommendation Method based on Context-Driven using Latent Dirichlet Allocation., and . JCSSE, page 248-253. IEEE, (2019)Hybrid Recommender System Using Latent Features., and . AINA Workshops, page 661-666. IEEE Computer Society, (2009)