An Interactive Intelligent Search Engine Model Research Based on User Information Preference

DOI

10.2991/jcis.2006.103How to use a DOI?

Keywords

artificial intelligence, intelligent search engine, user information preference

Abstract

Web service is very important for both e-commerce and e-government. However, web service process based on syntax level can’t deal with some user query very effectively. In order to make user get more information on the internet, semantic web is presented and a lot of related research results have been given. By using semantic web, e-service has made a great progress to date. It makes the e-commerce and e-government more flexible and effective than before. However, there are still a lot of problems related to semantic web need to be solved. One of these problems is that different user may have different information preference, i.e. when different user input the same search key words, they may care for and expect different information search results which are closely related to his own special field. How to provide effective information retrieval results and provide individual user information retrieval service is an important research branch in the web service. In this paper, intelligent interactive search engine model based on user information preference is discussed. The paper will be organized as follows: In section 1, introduction will give a simple summary of research state and potential problems; In section 2, main part of user information preference database will be described; In section 3, model of intelligent interactive search engine based user preference will be given; in the last section, a simple conclusion will be given.

Copyright

© 2006, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dan Meng
AU  - Xu Huang
PY  - 2006/10
DA  - 2006/10
TI  - An Interactive Intelligent Search Engine Model Research Based on User Information Preference
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.103
DO  - 10.2991/jcis.2006.103
ID  - Meng2006/10
ER  -