Výsledky vyhledávání - "Shaikh, Shamal"

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Data augmentation and refinement for recommender system: A semi-supervised approach using maximum margin matrix factorization

Autor: Shaikh, Shamal, Kagita, Venkateswara Rao, Kumar, Vikas, Pujari, Arun K

Collaborative filtering (CF) has become a popular method for developing recommender systems (RSs) where ratings of a user for new items are predicted based on her past preferences and available preference information of other users. Despite the popul

Externí odkaz: http://arxiv.org/abs/2306.13050

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Akademický článek

Data augmentation and refinement for recommender system: A semi-supervised approach using maximum margin matrix factorization

Autor: Shaikh, Shamal, Kagita, Venkateswara Rao, Kumar, Vikas, Pujari, Arun K.

Publikováno v: In Expert Systems With Applications 15 March 2024 238 Part B

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Data augmentation for recommender system: A semi-supervised approach using maximum margin matrix factorization

Autor: Shaikh, Shamal, Kagita, Venkateswara Rao, Kumar, Vikas, Pujari, Arun K

Collaborative filtering (CF) has become a popular method for developing recommender systems (RS) where ratings of a user for new items is predicted based on her past preferences and available preference information of other users. Despite the popular

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7ec3c0eafe657ff4ddc666b96db2beb
http://arxiv.org/abs/2306.13050

Zobrazit plný text záznamu

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