An Effective Recommender Algorithm for Cold-Start Problem in Academic Social Networks
Joint Authors
Kumar, Sameer
Shamshirband, Shahaboddin
Kasirun, Zarinah Mohd
Rohani, Vala Ali
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-18
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Abundance of information in recent years has become a serious challenge for web users.
Recommender systems (RSs) have been often utilized to alleviate this issue.
RSs prune large information spaces to recommend the most relevant items to users by considering their preferences.
Nonetheless, in situations where users or items have few opinions, the recommendations cannot be made properly.
This notable shortcoming in practical RSs is called cold-start problem.
In the present study, we propose a novel approach to address this problem by incorporating social networking features.
Coined as enhanced content-based algorithm using social networking (ECSN), the proposed algorithm considers the submitted ratings of faculty mates and friends besides user’s own preferences.
The effectiveness of ECSN algorithm was evaluated by implementing it in MyExpert, a newly designed academic social network (ASN) for academics in Malaysia.
Real feedbacks from live interactions of MyExpert users with the recommended items are recorded for 12 consecutive weeks in which four different algorithms, namely, random, collaborative, content-based, and ECSN were applied every three weeks.
The empirical results show significant performance of ECSN in mitigating the cold-start problem besides improving the prediction accuracy of recommendations when compared with other studied recommender algorithms.
American Psychological Association (APA)
Rohani, Vala Ali& Kasirun, Zarinah Mohd& Kumar, Sameer& Shamshirband, Shahaboddin. 2014. An Effective Recommender Algorithm for Cold-Start Problem in Academic Social Networks. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-447444
Modern Language Association (MLA)
Rohani, Vala Ali…[et al.]. An Effective Recommender Algorithm for Cold-Start Problem in Academic Social Networks. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-447444
American Medical Association (AMA)
Rohani, Vala Ali& Kasirun, Zarinah Mohd& Kumar, Sameer& Shamshirband, Shahaboddin. An Effective Recommender Algorithm for Cold-Start Problem in Academic Social Networks. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-447444
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-447444