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PDMA: A Probabilistic Framework for Diversifying Recommendation Lists.

, , and . APWeb, volume 9313 of Lecture Notes in Computer Science, page 670-682. Springer, (2015)

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PDMA: A Probabilistic Framework for Diversifying Recommendation Lists., , and . APWeb, volume 9313 of Lecture Notes in Computer Science, page 670-682. Springer, (2015)Exploiting Latent Relations Between Users and Items for Collaborative Filtering., , and . ICONIP (3), volume 9491 of Lecture Notes in Computer Science, page 365-374. Springer, (2015)Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining., , , , , , , and . J. Comput. Sci. Technol., 35 (2): 305-319 (2020)Graph-Based Hybrid Recommendation Using Random Walk and Topic Modeling., , and . APWeb, volume 9313 of Lecture Notes in Computer Science, page 573-585. Springer, (2015)