Recommendation System Based on Deep Sentiment Analysis and Matrix Factorization

Recommendation System Based on Deep Sentiment Analysis and Matrix Factorization

In order to solve the problem of data sparsity and credibility in collaborative filtering, a recommendation system based on sentiment analysis and matrix factorization (SAMF) is proposed in this paper, which uses topic model and deep learning technology to fully mine the implicit information in revi...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Ning Liu, Jianhua Zhao
Format: Artykuł
Język:English
Wydane: IEEE 2023-01-01
Seria:IEEE Access
Hasła przedmiotowe:
Reviews
sentiment analysis
matrix factorization
recommendation system
Dostęp online:https://ieeexplore.ieee.org/document/10047910/

Internet

https://ieeexplore.ieee.org/document/10047910/

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