Improving web search using contextual retrieval

Date
2009
Authors
Limbu, DK
Connor, AM
Pears, R
MacDonell, SG
Supervisor
Item type
Conference Contribution
Degree name
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE Computer Society Press
Abstract

Contextual retrieval is a critical technique for todaypsilas search engines in terms of facilitating queries and returning relevant information. This paper reports on the development and evaluation of a system designed to tackle some of the challenges associated with contextual information retrieval from the World Wide Web (WWW). The developed system has been designed with a view to capturing both implicit and explicit user data which is used to develop a personal contextual profile. Such profiles can be shared across multiple users to create a shared contextual knowledge base. These are used to refine search queries and improve both the search results for a user as well as their search experience. An empirical study has been undertaken to evaluate the system against a number of hypotheses. In this paper, results related to one are presented that support the claim that users can find information more readily using the contextual search system.

Description
Keywords
Web searching , Information retrieval , Collaboration , Context modeling , Feedback , Information retrieval , Information technology , Search engines , Software engineering , Web search , Web sites , World Wide Web
Source
Presentation at the 6th international conference on Information Technology: New Generations (ITNG '09), Las Vegas NV, USA, pp.1329 - 1334
Rights statement
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