NDLI: Resolving data sparsity and cold start in recommender systems

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Resolving data sparsity and cold start in recommender systems

Content Provider	ACM Digital Library
Author	Guo, Guibing
Abstract	Recommender systems (RSs) are heavily used in e-commerce to provide users with high quality, personalized recommendations from a large number of choices. Collaborative filtering (CF) is a widely used technique to generate recommendations [1]. The main research problems we desire to address are the two severe issues that original CF inherently suffers from: Data sparsity arises from the phenomenon that users in general rate only a limited number of items; Cold start refers to the difficulty in bootstrapping the RSs for new users or new items. The principle of CF is to aggregate the ratings of like-minded users. However, the reported matrix of user-item ratings is usually very sparse (up to 99%) due to users' lack of knowledge or incentives to rate items. In addition, for the new users or new items, in general, they report or receive only a few or no ratings. Both issues will prevent the CF from providing effective recommendations, because users' preference is hard to extract. Although many algorithms have been proposed to date, these issues have not been well-addressed yet.
Starting Page	361
Ending Page	364
Page Count	4
ISBN	9783642314537
ISSN	03029743
DOI	10.1007/978-3-642-31454-4_36
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-07-16
Publisher Place	Berlin, Heidelberg
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Computer Science

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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