Concept-based, personalized web information gathering: a survey

Tao, Xiaohui and Li, Yuefeng (2009) Concept-based, personalized web information gathering: a survey. In: 3rd International Conference on Knowledge Science, Engineering, and Management (KSEM 2009) , 25-27 Nov 2009, Vienna, Austria.

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Abstract

Web information gathering surfers from the problems of information mismatching and overloading. In an attempt to solve these fundamental problems, many works have proposed to use concept-based techniques to perform personalized information gathering for Web users. These works have significantly improved the performance of Web information gathering systems. In this paper, a survey is conducted on these works. The reviewed scholar report that the concept-based, personalized techniques can gather more useful and meaningful information for Web users. The survey also suggests that improvement is needed for the representation and acquisition of user profiles in personalized Web information gathering.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Accepted version deposited in accordance with the copyright policy of the publisher. Series: Lecture Notes in Computer Science vol 5914.
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 25 Aug 2016 05:14
Last Modified: 25 Aug 2016 05:17
Uncontrolled Keywords: concept-based; fundamental problem; personalized information; personalized web information; use concept; user profile; web information; web users
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080602 Computer-Human Interaction
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
08 Information and Computing Sciences > 0807 Library and Information Studies > 080704 Information Retrieval and Web Search
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1007/978-3-642-10488-6_23
URI: http://eprints.usq.edu.au/id/eprint/20187

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