NDLI: An Enhanced Collaborative Filtering with Flexible Item Popularity Control for Recommender Systems ( SocialCom '14 )

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An Enhanced Collaborative Filtering with Flexible Item Popularity Control for Recommender Systems ( SocialCom '14 )

Content Provider	ACM Digital Library
Author	Tian, Hui Zhu, Xuzhen Chen, Tu
Abstract	With the emerging and rapid development of Internet applications like social networks, E-commerce and so on, massive information has been created and stored. Recommender systems have been developed to deal with the information overload problem. Various recommendation algorithms have been proposed and Collaborative Filtering (CF) is one of the most remarkable. However, many similarity-based CFs suffer from a popularity bias problem: Popular items are frequently recommended not necessarily promoting the accuracy but making the recommendation lacking diversity. In this paper, we firstly explain how the item popularity impacts on the recommendation. Secondly, we propose an enhanced collaborative filtering approach (ECF) by adding item popularity control into a user-taste based method. Different from some other existing item popularity based CF methods, the popularity control in our approach is flexible and tunable. After that, extensive experiments are performed on two real benchmark datasets where the relationship between item popularity control and recommendation accuracy and diversity is investigated and turns out to be nonlinear. Experimental results demonstrate that temperate item popularity control can further improve the recommendation accuracy and diversity significantly, compared with the pure user-taste based method. But intemperate control makes the performance even worse Thus the flexibility is indeed essential and valuable.
Starting Page	1
Ending Page	2
Page Count	2
File Format	PDF
ISBN	9781450328883
DOI	10.1145/2639968.2640058
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-08-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Collaborative filtering Item popularity Flexibility 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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