NDLI: Information Recommendation Method Research Based on Trust Network and Collaborative Filtering

Content Provider	IEEE Xplore Digital Library
Author	Yuanliang Gao Boyi Xu Hongming Cai
Copyright Year	2011
Abstract	Information recommender system is considered to be one of the most effective tools to solve the problem of information overload. Collaborative Filtering (CF), which utilizes similar neighbors to generate recommendations, is believed to be the most widely implemented and most mature technique for recommender systems. However, the recommendation results are often unsatisfactory due to the data sparsity of the input ratings matrix. Consequently, a hybrid recommender system which combines social network, trust network, and improved CF is proposed to enhance the accuracy of recommendation and overcome the weakness of data sparsity. Another advantage of the system is that utilizing the community structure discovered in social network as a new trust network sharply reduces the computation required for traditional CF. An empirical evaluation on Epinions.com dataset shows that the hybrid recommender system which incorporates social network and trust network into improved CF is more effective in terms of accuracy. This is especially evident on users who provided few ratings.
Starting Page	386
Ending Page	391
File Size	321404
Page Count	6
File Format	PDF
ISBN	9781457714047
DOI	10.1109/ICEBE.2011.50
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement trust social network collaborative filtering Social network services Communities Computer architecture Educational institutions recommendation Sparse matrices Recommender systems
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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