NDLI: Personalized recommendation based on item dependency map

Content Provider	IEEE Xplore Digital Library
Author	Sun-Hee Youm Dong-Sub Cho
Copyright Year	2001
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Ewha Womans Univ., Seoul, South Korea (Sun-Hee Youm)
Abstract	In data mining, one wants to find hidden knowledge, unexpected patterns and new rules from massive data. In this paper, the authors intend to find user's item purchasing pattern and recommend good that he/she wants. So they suggest an item dependency map which express the relation between purchased items. Using an algorithm that they suggest, one can recommend an item which a user has not bought yet, but is likely to interested in. The item dependency map is used as a pattern for association in a Hopfield network so one can extract a users' global purchasing item pattern only using a users' partial information. The Hopfield network is an iterative auto-associative network consisting of a single layer of fully connected processing elements which can function as an associative memory. A Hopfield network can extract global information from sub-information. Therefore, this algorithm obtains an advantage of Hopfield networks. The authors' algorithm can be applied to real web sites and help web masters to know users' taste.
Sponsorship	IEEE Ind. Electron. Soc.
Starting Page	250
Ending Page	253
File Size	305704
Page Count	4
File Format	PDF
ISBN	0780370902
DOI	10.1109/ISIE.2001.931792
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-06-12
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Iterative algorithms Neural networks Data analysis Associative memory Marketing and sales Association rules Information processing Computer science Data engineering
Content Type	Text
Resource Type	Article

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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
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