NDLI: Personalized recommendation system based on multi

Content Provider	IEEE Xplore Digital Library
Author	Wu Bing Wu Fei Ye Chunming
Copyright Year	2010
Description	Author affiliation: College of Management, University of Shanghai for Science and Technology, China (Ye Chunming) \|\| Shanghai Science & Technology Development and Exchange Center, China (Wu Fei) \|\| College of Management, University of Shanghai for Science and Technology, Dean's office, Shanghai TV University, China (Wu Bing)
Abstract	Recommendation technology is an important technology to solve problems of information overwhelmed. However, recommendation system has many shortages such as lack of ability to discover knowledge hidden in data of users' online behaviours, poor personalized service, weak recommendation efficiency and effectiveness. In this paper, we put forward a personalized recommendation system based on multi_agent. We use JADE to build a learner agent (LA) and three types of recommendation agent (RA). RA takes advantage of rough set theory to discover pattern of user's interest based on user's online behaviors. We adopt Lucene to analyse materials, which are accessed by users, and extract information from them in order to build decision table and support RA to carry on knowledge discovery work. In the meantime, we use Lucene to build personalized retrieval function to support recommendation. The system integrates advantages of various recommended methods combining with the advantages of knowledge discovery work. Experiments based on real data show that this mechanism can recommend proper learning resources to users.
File Size	835956
File Format	PDF
ISBN	9781424463671
e-ISBN	9781424463701
DOI	10.1109/ICETC.2010.5529675
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Agent Data analysis TV Educational technology Conference management Rough Set Educational institutions Least squares approximation Lucene Personalized Recommendation Technology management Set theory Collaborative work JADE Computer science education
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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