Research of Automatic Classification of Retrieval Results for Chinese Internet Fraud Information Management Platform

DOI

10.2991/icitmi-15.2015.162How to use a DOI?

Keywords

information retrieval, automatic classification, internet fraud, information management

Abstract

For solving some problems of information retrieval in the Chinese internet fraud information management platform, the automatic classification model of search results based on the personalized service was proposed. The model computes the K nearest neighbor of the search results in the training sample set, finds the class of the most of the K nearest neighbor, and then classifies the search results as the class, and divides the search results into a simple hierarchy, which can both convenient the user and improve search efficiency. The performance test presents that the model can improve the search accuracy and quality of the specified internet fraud information.

Copyright

© 2015, 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  - Liang Hu
AU  - Yuchi Zhu
AU  - Jing Xu
PY  - 2015/10
DA  - 2015/10
TI  - Research of Automatic Classification of Retrieval Results for Chinese Internet Fraud Information Management Platform
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 960
EP  - 963
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.162
DO  - 10.2991/icitmi-15.2015.162
ID  - Hu2015/10
ER  -