Personal Recommendation Using a Novel Collaborative Filtering Algorithm in Customer Relationship Management
Author
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-31
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
With the rapid development of customer relationship management, more and more user recommendation technologies are used to enhance the customer satisfaction.
Although there are many good recommendation algorithms, it is still a challenge to increase the accuracy and diversity of these algorithms to fulfill users’ preferences.
In this paper, we construct a user recommendation model containing a new method to compute the similarities among users on bipartite networks.
Different from other standard similarities, we consider the influence of each object node including popular degree, preference degree, and trust relationship.
Substituting these new definitions of similarity for the standard cosine similarity, we propose a modified collaborative filtering algorithm based on multifactors (CF-M).
Detailed experimental analysis on two benchmark datasets shows that the CF-M is of high accuracy and also generates more diversity.
American Psychological Association (APA)
Xu, Chonghuan. 2013. Personal Recommendation Using a Novel Collaborative Filtering Algorithm in Customer Relationship Management. Discrete Dynamics in Nature and Society،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-494855
Modern Language Association (MLA)
Xu, Chonghuan. Personal Recommendation Using a Novel Collaborative Filtering Algorithm in Customer Relationship Management. Discrete Dynamics in Nature and Society No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-494855
American Medical Association (AMA)
Xu, Chonghuan. Personal Recommendation Using a Novel Collaborative Filtering Algorithm in Customer Relationship Management. Discrete Dynamics in Nature and Society. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-494855
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-494855