Study of Distributed Personalized Search Engine
- 10.2991/iccia.2012.436How to use a DOI?
- distributed computing, personalized,search engine, Hadoop, user interests
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.
- © 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/).
Cite this article
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 -