NDLI: Product rating prediction using centrality measures in social networks

Content Provider	IEEE Xplore Digital Library
Author	Davoudi, A. Chatterjee, M.
Copyright Year	2015
Description	Author affiliation: Univ. of Central Florida, Orlando, FL, USA (Davoudi, A.; Chatterjee, M.)
Abstract	Online recommendation systems provide useful information to users on various products and also allow the users to rate the products. However, they do not usually consider the fact that users trust their connections more than others and that the trusts vary from connection to connection i.e., we value the opinions of our connections differently. Moreover, the importance of connections' opinion changes over time. Thus, there is a need to consider the evolving trust relationships among users. In this work, we use both the user's social connections and non-connections to predict how a user would rate a particular product. We argue that we not only trust our connections more but also the trust varies over time, which we capture using a time-dependent trust matrix. We use the degree and eigen-vector centrality measures in conjunction with the user-item rating matrix to find how the social connections impact how one rates a product. To test the validity of the proposed framework, we use Epinions dataset which provides the ratings for products and trust matrix over 11 time periods. We show the accuracy our predictive model using the mean absolute error.
Starting Page	94
Ending Page	98
File Size	146621
Page Count	5
File Format	PDF
e-ISBN	9781467380423
DOI	10.1109/SARNOF.2015.7324650
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Recommender systems Predictive models Collaboration Probability density function Social network services Accuracy Social factors hubs Social networks power-law recommendations cluster coefficients
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 Library 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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