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Exploiting implicit social relationships via dimension reduction to improve recommendation system performance
- Source :
- PLoS ONE, Vol 15, Iss 4, p e0231457 (2020), PLoS ONE
- Publication Year :
- 2020
- Publisher :
- Public Library of Science (PLoS), 2020.
-
Abstract
- The development of Web 2.0 and the rapid growth of available data have led to the development of systems, such as recommendation systems (RSs), that can handle the information overload. However, RS performance is severely limited by sparsity and cold-start problems. Thus, this paper aims to alleviate these problems. To realize this objective, a new model is proposed by integrating three sources of information: a user-item matrix, explicit and implicit relationships. The core strategy of this study is to use the multi-step resource allocation (MSRA) method to identify hidden relations in social information. First, explicit social information is used to compute the similarity between each pair of users. Second, for each non-friend pair of users, the MSRA method is applied to determine the probability of their relation. If the probability exceeds a threshold, a new relationship will be established. Then, all sources are incorporated into the Singular Value Decomposition (SVD) method to compute the missing prediction values. Furthermore, the stochastic gradient descent technique is applied to optimize the training process. Additionally, two real datasets, namely, Last.Fm and Ciao, are utilized to evaluate the proposed method. In terms of accuracy, the experiment results demonstrate that the proposed method outperforms eight state-of-the-art approaches: Heats, PMF, SVD, SR, EISR-JC, EISR-CN, EISR-PA and EISR-RAI.
- Subjects :
- Computer science
RSS
Social Sciences
02 engineering and technology
computer.software_genre
Social Networking
Machine Learning
Sociology
0202 electrical engineering, electronic engineering, information engineering
Psychology
Multidisciplinary
Applied Mathematics
Simulation and Modeling
computer.file_format
Social Networks
Physical Sciences
Medicine
020201 artificial intelligence & image processing
Data mining
Network Analysis
Algorithms
Human
Research Article
Computer and Information Sciences
Similarity (geometry)
Relation (database)
Science
Singular Value Decomposition
Recommender system
Research and Analysis Methods
Interpersonal Relationships
Artificial Intelligence
020204 information systems
Singular value decomposition
Humans
Controlled Study
Mass Media
Probability
Dimensionality reduction
Biology and Life Sciences
Heat
Computing Methods
Communications
Stochastic gradient descent
Algebra
Collective Human Behavior
Linear Algebra
Resource allocation
Eigenvectors
computer
Social Media
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 15
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....3159867b06a8361d76a7eff42c3b4ae6