CMPTF: Contextual Modeling Probabilistic Tensor Factorization for recommender systems

Research article (Neurocomputing, 2016) · cited 34× · AI/ML
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CMPTF: Contextual Modeling Probabilistic Tensor Factorization for recommender systems

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CMPTF: Contextual Modeling Probabilistic Tensor Factorization for recommender systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). CMPTF: Contextual Modeling Probabilistic Tensor Factorization for recommender systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/cmptf-contextual-modeling-probabilistic-tensor-factorization-for-recommender-systems
MLA “CMPTF: Contextual Modeling Probabilistic Tensor Factorization for recommender systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cmptf-contextual-modeling-probabilistic-tensor-factorization-for-recommender-systems.
BibTeX @misc{4ortxyz_cmptf-contextual-modeling-probabilistic-tensor-factorization-for-recommender-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CMPTF: Contextual Modeling Probabilistic Tensor Factorization for recommender systems}}, year = {2026}, url = {https://4ort.xyz/entity/cmptf-contextual-modeling-probabilistic-tensor-factorization-for-recommender-systems}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CMPTF: Contextual Modeling Probabilistic Tensor Factorization for recommender systems — https://4ort.xyz/entity/cmptf-contextual-modeling-probabilistic-tensor-factorization-for-recommender-systems (retrieved 2026-05-24)

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