NDLI: RPCF Algorithm for Multi-Agent Tourism System

Content Provider	IEEE Xplore Digital Library
Author	Soe Yu Maw Myo Myo Naing Ni Lar Thein
Copyright Year	2006
Description	Author affiliation: Univ. of Comput. Studies, Yangon (Soe Yu Maw; Myo Myo Naing; Ni Lar Thein)
Abstract	Nowadays, there is a vast and ever growing amount of information in the Web. The users are in need of more powerful tools to collect the vast amount of heterogeneous information. To address the problem of information overload Agents have widely been proposed as a solution to these problems. One possible system approach is to personalize the Web page and create the system which responds to the user request by potentially aggregating information from several information sources in a manner which is dependent on who the user is. Personalization is a process of gathering and storing information about users, analyzing the information and based on this analysis, delivering the information to each user at the right time. Generally, Web personalization has three categories, rule-based filtering, collaborative filtering, and content-based filtering. This paper proposes the RPCF Algorithm, which aims to identify users that have relevant interest by calculating similarity between user's profiles. In our system, we use the rule-based personalization with collaborative filtering technique for evaluating the RPCF algorithm. Our system aims at creating a personalized agent system that automatically tailors the relevant information of the users' request from the Web sites to produce the best recommendation. We illustrate this technique in the tourism domain
Starting Page	1
Ending Page	6
File Size	175833
Page Count	6
File Format	PDF
ISBN	1424407176
DOI	10.1109/MHS.2006.320233
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-05
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Information filtering Information filters Collaboration Web pages Information analysis Multiagent systems Search engines Filtering algorithms Web sites Web and internet services Collaborative Filtering Multi-Agents System Personalization Tourism Rule-Based Personalization
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
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