Personalized Search Ranking Based on Semantic Tag

DOI

10.2991/icsem.2013.137How to use a DOI?

Keywords

Semantic Tag, Personalized Search Ranking, Personalization, Search Engine

Abstract

The resource getting core of knowledge Service System is the search engine, but the most studies only put attention to improve efficiency, so as to mass resources retrieval results still allows the user to face "cognitive overload" problem when the user to use searcher to get knowledge, how to provide personalized search results become a research focus. This paper provide a new personalized search ranking method, which use semantic tag and user profile to personalized the search results. The experimental results indicate that the method is effective.

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  - Lei Huang
AU  - Chanle Wu
PY  - 2013/04
DA  - 2013/04
TI  - Personalized Search Ranking Based on Semantic Tag
BT  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 675
EP  - 678
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.137
DO  - 10.2991/icsem.2013.137
ID  - Huang2013/04
ER  -