NDLI: Enhancing recommender systems prediction through qualitative preference relations

Content Provider	IEEE Xplore Digital Library
Author	Boulkrinat, S. Hadjali, A. Mokhtari, A.
Copyright Year	2013
Description	Author affiliation: LIAS, ENSMA, Poitiers, France (Hadjali, A.) \|\| FEI/LRIA, USTHB, Algiers, Algeria (Boulkrinat, S.; Mokhtari, A.)
Abstract	In this work, we propose a novel approach to deal with user preference relations instead of absolute ratings, in recommender systems. User's preferences are ratings expressed qualitatively by using linguistic terms. This is a suitable technique when preferences are imprecise and vague. Due to the fact that the overall item rating may hide the users' preferences heterogeneity and mislead the system when predicting the items (products / services) that users are interested in, we also choose to incorporate multi-criteria ratings, which is a promising technique to improve the recommender systems accuracy. User's items ratings are represented through a preference graph which highlight better items relationships. Similarity between users is performed on the basis of the similarity of their preference relations instead of their absolute ratings, since preference relations can better reflect similar users' ratings patterns. Our approach enhances somehow the classical recommender system precision because the graphs used for prediction are more informative and reflect user's initial ratings relations.
Sponsorship	IEEE Algeria Subsect.
Starting Page	74
Ending Page	80
File Size	297521
Page Count	7
File Format	PDF
ISBN	9781479911523
e-ISBN	9781479911530
DOI	10.1109/ISPS.2013.6581497
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-22
Publisher Place	Algeria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radio frequency Magnetic resonance imaging Iron
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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