NDLI: Boosting social networks in Social Network-Based Recommender System

Content Provider	IEEE Xplore Digital Library
Author	Perez, L.G. Montes-Berges, B. del Rosario Castillo-Mayen, M.
Copyright Year	2011
Description	Author affiliation: Department of Computer Science, University of Jaén, Jaén, Spam (Perez, L.G.) \|\| Department of Psychology, University of Jaén, Jaén, Spain (Montes-Berges, B.; del Rosario Castillo-Mayen, M.)
Abstract	E-commerce companies have integrated services in their websites in order to attract new users or guarantee the customers' fidelity. In order to accomplish these aims, recommender systems were developed as a tool to assist people in their purchases. Although, these systems have provided many advantages, they suffer from some drawbacks such the sparsity problem and the cold start problem. In order to smooth out both problems some solutions have been proposed. One of them is the integration of social networks in recommender systems creating a new paradigm of recommender systems called the Social Network-Based Recommender System (SNRS). In order to receive recommendations, these SNRSs require users to have, or provide, suitable social networks. However, social networks in e-commerce companies are usually embedded in their websites, and thus, users may not know enough acquaintances there to provide suitable social networks to the SNRS. In this contribution we address this problem and we present a model that, by means of interpersonal attraction theories, assists users in finding candidates who can belong to their social network. That way, not only does this model make easier the use of SNRSs, but it also encourages the use of the embedded social network, becoming an additional tool to improve the customers' fidelity.
Starting Page	426
Ending Page	431
File Size	584177
Page Count	6
File Format	PDF
ISBN	9781457716768
ISSN	21647151
e-ISBN	9781457716768
DOI	10.1109/ISDA.2011.6121693
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-22
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	linguistic hierarchies Adaptation models Uncertainty Social network services Collaboration interpersonal attraction Social Network-Based Recommender Systems Intelligent systems Recommender systems Pragmatics
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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