Combining review-based collaborative filtering and matrix factorization: A solution to rating's sparsity problem-Reference-Cited by-同舟云学术

Combining review-based collaborative filtering and matrix factorization: A solution to rating's sparsity problem

Published:2022-05 Issue: Volume:156 Page:113748
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Duan Rui,Jiang Cuiqing,Jain Hemant K.

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference66 articles.

1. Informed recommender: basing recommendations on consumer product reviews;Aciar;IEEE Intell. Syst.,2007

2. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions;Adomavicius;IEEE Trans. Knowl. Data Eng.,2005

3. Latent dirichlet allocation;Blei;J. Mach. Learn. Res.,2003

4. Hybrid recommender systems: survey and experiments;Burke;User Model. User-Adap. Inter.,2002

5. A hybrid approach for personalized service staff recommendation;Chang;Inf. Syst. Front.,2017

Cited by 43 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ABNS: Association-based negative sampling for collaborative filtering;Expert Systems with Applications;2024-09

2. Integrating textual reviews into neighbor-based recommender systems;Expert Systems with Applications;2024-09

3. MBDL: Exploring dynamic dependency among various types of behaviors for recommendation;Information Systems;2024-09

4. Deep learning mechanism and big data in hospitality and tourism: Developing personalized restaurant recommendation model to customer decision-making;International Journal of Hospitality Management;2024-08

5. Collaborative Filtering Based Module Recommendation To Boost Learners Achievement;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21