Improved Latent Factor Model in Movie Recommendation System
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- Type
- article
- Published
- 2018-03-01
- Cited by
- 6
- References
- 16
- OpenAlex
- https://openalex.org/W2897827065
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:53012115
Keywords
Recommender system, Factor (programming language), MovieLens, Collaborative filtering, Computer science
References
- An open architecture for collaborative filtering of netnews
- Combining latent factor model with location features for event-based group recommendation
- Learning personal + social latent factor model for social recommendation
- Rank-Sparsity Incoherence for Matrix Decomposition
- Analysis of different modes of factor analysis as least squares fit problems
- An improved collaborative movie recommendation system using computational intelligence
- Item-based collaborative filtering recommendation algorithms
- Graph regularized discriminative non-negative matrix factorization for face recognition
- Projected Gradient Methods for Nonnegative Matrix Factorization
- Neural Word Embedding as Implicit Matrix Factorization
- Algorithms for Non-negative Matrix Factorization
- A scientometric review of emerging trends and new developments in recommendation systems
- A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices
- Personalized Movie Recommendation System Based on Support Vector Machine and Improved Particle Swarm Optimization
- GroupLens
- ALGORITHMS FOR NON-NEGATIVE MATRIX FACTORIZATION
- A Comprehensive Survey of Neighborhood-based Recommendation Methods
- A Smart Movie Recommendation System
Cited by
- A novel personalized recommendation algorithm by exploiting individual trust and item’s similarities
- Movie Recommendation Based on Posters and Still Frames using Machine Learning
- A Recommender System Based on Model Regularization Wasserstein Generative Adversarial Network*
- Personalized Recommendation Algorithm for Movie Data Combining Rating Matrix and User Subjective Preference
- Movie Recommendation System Using Euclidean Distance
- Effective Matrix Factorization for Recommendation with Local Differential Privacy
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