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Improving web database search incorporating users query information

Rawat, Rakesh, Nayak, Richi, & Li, Yuefeng (2011) Improving web database search incorporating users query information. In Proceedings of the 1st International Conference on Web Intelligence, Mining and Semantics, ACM, Quality Hotel Sogndal, Songdol, Norway.

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Abstract

The growing importance and need of data processing for information extraction is vital for Web databases. Due to the sheer size and volume of databases, retrieval of relevant information as needed by users has become a cumbersome process. Information seekers are faced by information overloading - too many result sets are returned for their queries. Moreover, too few or no results are returned if a specific query is asked. This paper proposes a ranking algorithm that gives higher preference to a user’s current search and also utilizes profile information in order to obtain the relevant results for a user’s query.

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ID Code: 47477
Item Type: Conference Paper
Keywords: Query ranking, Feature Importance Technique based Ranking, Ranking SQL search results, Ranking personalized search results
ISBN: 9781450301480
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Database Management (080604)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Research Centres > Smart Services CRC
Copyright Owner: Copyright 2011 ACM
Copyright Statement: "Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee.WIMS'11, May 25-27, 2011 Sogndal, Norway.
Deposited On: 05 Dec 2011 07:35
Last Modified: 06 Dec 2011 03:56

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