The Application Research of Ant Colony Algorithm in Search Engine

DOI

10.2991/icmemtc-16.2016.284How to use a DOI?

Keywords

Search engine; Ant colony algorithm; Pheromone; Network; Personalized search

Abstract

The Internet will produce large amounts of information every day. How to effectively manage the information resources has become the key to improve the level of network application. Search engine is a software system applied in the web, which is an important tool for retrieving network information. It uses certain strategies to collect and find information, and process and organize the information, and provides users with network information query service, also can help users find valuable and meaningful information through computers. On the Internet, search engine collects different kinds of resources to navigation to facilitate a quick search. This article mainly discusses the concept of search engine. Through the study of ant colony algorithm, achieve further analysis of the application of search engine, and use pheromone binding characteristics to guide personalized search strategy in order to improve search efficiency. Search engine using ant colony algorithm theoretically expounds ant colony algorithm's openness and dynamic adjustment, and on the basis of it, analyzes the advantages of ant colony search engine algorithm and proves the validity and superiority of the algorithm.

Copyright

© 2016, 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  - Jian Lan Liu
AU  - Li Zhu
PY  - 2016/04
DA  - 2016/04
TI  - The Application Research of Ant Colony Algorithm in Search Engine
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1469
EP  - 1474
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.284
DO  - 10.2991/icmemtc-16.2016.284
ID  - Liu2016/04
ER  -