The Research on Personalized Query Expansion Technology

DOI

10.2991/icence-16.2016.56How to use a DOI?

Keywords

Personalized; Query; Eextension Technology.

Abstract

The current information retrieval system, there are still some problems, such as incremental information collection of web crawler, index dynamic updating and compression, results sorting, audio and video retrieval, query language visualization and so on. The results returned users are most concerned about whether to meet the needs of retrieval. Query by example "rocket", for sports fans user search intention is "rocket" related to the sports information, and of military enthusiasts search intention is indeed "rocket principle" or "rocket launch" military category information. Usually user input query string is shorter, search engine is very difficult to identify the user interests preference categories, in this paper inspired if the query expansion, with the user query related information into the query expansion base, feedback to the search system, add user interest model, identification of user interests to be more clear identification of user interests preference categories. In this paper, based on dictionary and based on relevant feedback combined with method of personalized query expansion and effectively identified user interests preference categories.

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/).

Download article (PDF)

TY  - CONF
AU  - Yi Song
AU  - Shilong Zhang
AU  - JiaNing Wang
PY  - 2016/09
DA  - 2016/09
TI  - The Research on Personalized Query Expansion Technology
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 263
EP  - 268
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.56
DO  - 10.2991/icence-16.2016.56
ID  - Song2016/09
ER  -