Title :
Improving Web Search Using Contextual Retrieval
Author :
Limbu, Dilip K. ; Connor, Andrew M. ; Pears, Russel ; MacDonell, Stephen G.
Author_Institution :
Software Eng. Res. Lab., Auckland Univ. of Technol., Auckland
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.
Keywords :
Internet; knowledge based systems; query processing; search engines; Web search; World Wide Web; contextual knowledge base system; contextual retrieval; contextual search system; personal contextual profile; search engines; search queries; Collaboration; Context modeling; Feedback; Information retrieval; Information technology; Search engines; Software engineering; Web search; Web sites; World Wide Web; Web searching; information retrieval;
Conference_Titel :
Information Technology: New Generations, 2009. ITNG '09. Sixth International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-3770-2
Electronic_ISBN :
978-0-7695-3596-8
DOI :
10.1109/ITNG.2009.133