NDLI: A content-enhanced approach for cold-start problem in collaborative filtering

Content Provider	IEEE Xplore Digital Library
Author	Dongting Sun Cong Li Zhigang Luo
Copyright Year	2011
Description	Author affiliation: Department of Computer Science, National University of Defense Technology, Changsha, China (Dongting Sun; Cong Li; Zhigang Luo)
Abstract	Recommender systems are widely used in online business to satisfy user personalization demands. The most successful technique of such systems is collaborative filtering, which utilizes users' known preference to generate predictions of the unknown preferences. A key challenge for collaborative filtering recommender systems is providing high quality recommendations to new users that have not enough known preferences. In this paper, we propose a hybrid algorithm by using both the ratings and content information to tackle user-side cold-start problem. We first cluster users based on their interests and then utilize the clustering results and users' demographic information to build a decision tree to associate the novel users with the existing ones. Considering the novel user's ratings constantly increasing, we make predictions for novel users by combining our method with the collaborative filtering algorithm. Experiments on real data set show the improvement of our approach in overcoming the user-side cold-start problem.
Starting Page	4501
Ending Page	4504
File Size	404902
Page Count	4
File Format	PDF
ISBN	9781457705359
e-ISBN	9781457705366
DOI	10.1109/AIMSEC.2011.6010230
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	K-means Collaborative filtering Collaboration Clustering algorithms Prediction algorithms Classification algorithms Decision trees Decision tree Recommender systems Recommender system Cold-start
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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