A hybrid recommendation approach using LDA and probabilistic matrix factorization
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-1972-y
Abstract: Recommender systems provide users with suggestions and selections. Hybrid approaches which combine the neighborhood-based methods and the model-based methods have become popular when building collaborative filtering recommenders, but similarity is established between users/items only by… read more here.
Keywords: probabilistic matrix; matrix factorization; recommendation approach; approach ... See more keywords
Probabilistic Matrix Factorization for Data With Attributes Based on Finite Mixture Modeling.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3196444
Abstract: Matrix factorization (MF) methods decompose a data matrix into a product of two-factor matrices (denoted as U and V ) which are with low ranks. In this article, we propose a generative latent variable model… read more here.
Keywords: finite mixture; matrix factorization; data matrix; probabilistic matrix ... See more keywords
Deep Hyperspectral and Multispectral Image Fusion via Probabilistic Matrix Factorization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3244992
Abstract: Deep learning methods are popular for hyperspectral and multispectral image (HSI-MSI) fusion to obtain a high-resolution HSI. However, most of them are unsatisfactory due to limited generalization ability and poor interpretability. This article proposes a… read more here.
Keywords: matrix; fusion; multispectral image; matrix factorization ... See more keywords
Recommendation system in social networks with topical attention and probabilistic matrix factorization
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DOI: 10.1371/journal.pone.0223967
Abstract: Collaborative filtering (CF) is a common recommendation mechanism that relies on user-item ratings. However, the intrinsic sparsity of user-item rating data can be problematic in many domains and settings, limiting the ability to generate accurate… read more here.
Keywords: attention; probabilistic matrix; recommendation; matrix factorization ... See more keywords