JOURNAL ARTICLE

An Optimized Trust Factor Based Collaborative Filtering Recommendation Algorithm in E-commerce

Abstract

Typical trust factor based collaborative filtering algorithm is not suitable for user's multiple interest recommendation. A new algorithm combines traditional trust factor-based collaborative filtering with similar item-based collaborative filtering was presented. The experimental results show that the proposed methods perform better than the old recommendation method.

Keywords:
Collaborative filtering Computer science Recommender system Factor (programming language) Collaborative software E-commerce Algorithm Data mining Machine learning World Wide Web

Metrics

3
Cited By
0.70
FWCI (Field Weighted Citation Impact)
7
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Recommender Systems and Techniques
Physical Sciences →  Computer Science →  Information Systems
Customer churn and segmentation
Social Sciences →  Business, Management and Accounting →  Marketing
Data Mining Algorithms and Applications
Physical Sciences →  Computer Science →  Information Systems
© 2026 ScienceGate Book Chapters — All rights reserved.