NDLI: A new collaborative filtering approach utilizing item’s popularity

Content Provider	IEEE Xplore Digital Library
Author	Weiwei Xia Liang He Lei Ren Meihua Chen Junzhong Gu
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci. & Technol., East China Normal Univ., Shanghai, China (Weiwei Xia; Liang He; Lei Ren; Meihua Chen; Junzhong Gu)
Abstract	Collaborative filtering (CF) is one of the most successful technologies in recommender systems, and widely used in many personalized recommender areas, such as e-commerce, digital library and so on. However, most collaborative filtering algorithms suffer from data sparsity which leads to inaccuracy of recommendation. In this paper, we focus on nearest-neighbor CF algorithms and propose a new collaborative filtering approach. First, we suggest a new missing data making up strategy before user's similarity computation, which smoothes the sparsity problem. Meanwhile, the notion of item's popularity weight is defined and introduced into the computation. After then, when facing with new users, we also find a kind way to alleviate the difficulty in recommendation. The experimental results show our proposed approach outperforms the other existing collaborative filtering algorithms. It can efficiently smooth the inaccuracy caused by ratings sparsity, and can work well in generating recommendation for new users.
Starting Page	1480
Ending Page	1484
File Size	767289
Page Count	5
File Format	PDF
ISBN	9781424426294
DOI	10.1109/IEEM.2008.4738117
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-08
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Collaborative Filtering Item’s Popularity Weight Helium Electronic commerce Digital filters Computer science Software libraries Collaboration Filtering algorithms Collaborative work Sparsity Problem Recommender System Optical films 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 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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