NDLI: A Clustering-Based Similarity Measurement for Collaborative Filtering

Content Provider	IEEE Xplore Digital Library
Author	Liang Gu Peng Yang Yongqiang Dong
Copyright Year	2014
Description	Author affiliation: Sch. of Comput. Sci. & Eng., Southeast Univ., Nanjing, China (Liang Gu; Peng Yang; Yongqiang Dong)
Abstract	Similarity measurement is a crucial process in collaborative filtering. User similarity is computed solely based on the numerical ratings of users. In this paper, we argue that the social information of users should be also taken into consideration to improve the performance of traditional similarity measurements. To achieve this, we propose a clustering-based similarity measurement approach incorporating user social information. In order to cluster the users effectively, we propose a novel distance metric based on taxonomy tree which can easily process the numerical and categorical information of users. Meanwhile, we also address how to determine the contribution of different types of information in the distance metric. After clustering the users, we introduce the incorporating strategy of our proposed similarity measurement. We perform a series of experiments on a real world dataset and compare the performance of our approach against that of traditional approaches. Experiments demonstrate that the proposed approach considerably outperforms the traditional approaches.
Starting Page	282
Ending Page	287
File Size	673902
Page Count	6
File Format	PDF
e-ISBN	9781479980857
DOI	10.1109/CBD.2014.50
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Accuracy Filtering Computational modeling Taxonomy Collaboration Vegetation Similarity; clustering; social information; collaborative filtering; recommendation system
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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