Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/inderscience-publishers/personalised-recommendation-algorithm-for-social-network-based-on-two-poZZkYJvMu
- Publisher
- Inderscience Publishers
- Copyright
- Copyright © Inderscience Enterprises Ltd
- ISSN
- 1754-8632
- eISSN
- 1754-8640
- DOI
- 10.1504/IJAACS.2020.109807
- Publisher site
- See Article on Publisher Site
Abstract
In order to recommend friends in a real sense based on the personalised needs of users. A personalised recommendation algorithm based on two-dimensional correlation (FRBOT) was proposed for social network. In the proposed model, the interest similarity and trust relationship among users were combined with probability matrix decomposition to analyse the potential factor characteristics of the same preferences of selected trust users and target users. Compared with general matrix decomposition algorithm and personalised recommendation method based on user trust, the algorithm has evident advantages and can improve user satisfaction. The experimental results show that the performance of the proposed friend recommendation method is significantly improved compared with that of the existing friend recommendation methods.
Journal
International Journal of Autonomous and Adaptive Communications Systems – Inderscience Publishers
Published: Jan 1, 2020