LAUSR

A hybrid recommendation approach using LDA and probabilistic matrix factorization

Sign Up to like & get
recommendations!
0 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 & get
recommendations!
1 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 & get
recommendations!
2 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

TphPMF: A microbiome data imputation method using hierarchical Bayesian Probabilistic Matrix Factorization

Sign Up to like & get
recommendations!
0 Published in 2025 at "PLOS Computational Biology"

DOI: 10.1371/journal.pcbi.1012858

Abstract: In microbiome research, data sparsity represents a prevalent and formidable challenge. Sparse data not only compromises the accuracy of statistical analyses but also conceals critical biological relationships, thereby undermining the reliability of the conclusions. To… read more here.

Keywords: probabilistic matrix; microbiome data; matrix factorization; data imputation ... See more keywords

Recommendation system in social networks with topical attention and probabilistic matrix factorization

Sign Up to like & get
recommendations!
0 Published in 2019 at "PLoS ONE"

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