Study of Distributed Personalized Search Engine

DOI

10.2991/iccia.2012.436How to use a DOI?

Keywords

distributed computing, personalized,search engine, Hadoop, user interests

Abstract

Combining distributed computing and data mining techniques, a distributed personalized search engine is put forward to solve the the problems current search engines faced. It has described the theoretical model and algorithmic processing. Under the Hadoop, a distributed platform processing information with Java, the key parts are programmed and implemented. The experimental results show that this theoretical model can improve the accuracy and speed of the user's queries so it can improve the retrieval performance of the search engine.

Copyright

© 2013, 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  - Hong Zhang
AU  - Yanhong Ma
AU  - Weijun Ma
AU  - Zhongxian BAO
PY  - 2014/05
DA  - 2014/05
TI  - Study of Distributed Personalized Search Engine
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 1741
EP  - 1744
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.436
DO  - 10.2991/iccia.2012.436
ID  - Zhang2014/05
ER  -