NDLI: A Short-term User Interest Model for personalized recommendation

Content Provider	IEEE Xplore Digital Library
Author	Jie Yu Fangfang Liu
Copyright Year	2010
Description	Author affiliation: School of Computer Engineering and Science, Shanghai University, Shanghai, China, 200072 (Jie Yu; Fangfang Liu)
Abstract	Personalized recommendation is a widely used application of Web personalized services which alleviate the burden of information overload by collecting information which meets user's needs. An essential of personalized recommendation is how to describe and obtain user's interests. Most existing approaches try to obtain interests from user's whole process of browsing. However, effective obtainment, storage and organization are challenging issues. In this paper, Short-term User Interest Model (SUIM) is presented to represent user's real-time interests based on his/her recent browsing content and behavior. On one hand, based on Semantic Link Network (SLN), user's real-time interests are semantically represented by Web pages he/she has browsed. The contribution of each page to representation of user's interests is weighted by information entropy based on associated degree from this Web page to other ones. On the other hand, memory capacity and recall probability from psychology are introduced to ensure the small scale and accuracy of SUIM. Experimental results show the validity of SUIM. The proposed method has a brilliant perspective in the applications of Web personalized recommendation.
Starting Page	219
Ending Page	222
File Size	511905
Page Count	4
File Format	PDF
ISBN	9781424452637
DOI	10.1109/ICIME.2010.5477448
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Weight measurement information entropy Psychology Application software Information entropy Fuzzy sets Web pages Fusion power generation memory capacity Search engines short-term user's interest Capacity planning Qualifications
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