Creative computing for personalised meta-search engine based on semantic web

Ma, S, Li, S and Yang, H (2015) 'Creative computing for personalised meta-search engine based on semantic web.' In: Luo, X and Gu, D, eds. Automation, computing and manufacturing for new economic growth: 21st International Conference on Automation and Computing (ICAC). IEEE Computer Society, Los Alamitos, pp. 1-6. ISBN 9780992680114

Abstract

As the Web technology develops rapidly, search engine as an important part of web technology has been widely used by people. A huge number of results are produced when users input query to normal search engines. However, many of the results are irrelevant. This paper presents a system that has been used to adjust the web search programs satisfy individual client's needs. This work can be explained in three directions. Firstly, a novel technique presented is proposed combining semantic web technology and personalised technology. Secondly, a new meta-search engine is created to make the results more relevant. Finally this paper presents a running example to show the query will be analysed more comprehensively are generated fewer but more personalised results to individual users are generated compared with Google search engine.

Item Type:	Book Chapter or Section
Divisions:	Bath School of Design
Identification Number:	https://doi.org/10.1109/IConAC.2015.7313966
Date Deposited:	20 Mar 2017 16:57
Last Modified:	05 Jan 2022 16:07
URI / Page ID:	https://researchspace.bathspa.ac.uk/id/eprint/9433

	Request a change to this item or report an issue
	Update item (repository staff only)