A Robust Collaborative Filtering Approach Based on User Relationships for Recommendation Systems
Joint Authors
Ling, Bin
Xiong, Qingyu
Gao, Min
Yuan, Quan
Yang, Linda
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-18
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Personalized recommendation systems have been widely used as an effective way to deal with information overload.
The common approach in the systems, item-based collaborative filtering (CF), has been identified to be vulnerable to “Shilling” attack.
To improve the robustness of item-based CF, the authors propose a novel CF approach based on the mostly used relationships between users.
In the paper, three most commonly used relationships between users are analyzed and applied to construct several user models at first.
The DBSCAN clustering is then utilized to select the valid user model in accordance with how the models benefit detecting spam users.
The selected model is used to detect spam user group.
Finally, a detection-based CF method is proposed for the calculation of item-item similarities and rating prediction, by setting different weights for suspicious spam users and normal users.
The experimental results demonstrate that the proposed approach provides a better robustness than the typical item-based kNN (k Nearest Neighbor) CF approach.
American Psychological Association (APA)
Gao, Min& Ling, Bin& Yuan, Quan& Xiong, Qingyu& Yang, Linda. 2014. A Robust Collaborative Filtering Approach Based on User Relationships for Recommendation Systems. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-450831
Modern Language Association (MLA)
Gao, Min…[et al.]. A Robust Collaborative Filtering Approach Based on User Relationships for Recommendation Systems. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-450831
American Medical Association (AMA)
Gao, Min& Ling, Bin& Yuan, Quan& Xiong, Qingyu& Yang, Linda. A Robust Collaborative Filtering Approach Based on User Relationships for Recommendation Systems. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-450831
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-450831