Query Expansion Based On Both Long-Term And Short-Term Social Relation In XML Social Book Search

DOI

10.2991/mcei-15.2015.90How to use a DOI?

Keywords

Query expansion; Long-term social relation; Short-term social relation; Book search; Recommendation degree

Abstract

Query expansion technology is usually used to make abundant query to search information. Traditional query expansion based on WordNet, user search log or user feedback couldn’t get the user’s real intent, sometimes the latter could expand overly. In this paper, we propose a novel query expansion method based both on the user’s long-term relation and short-term relation in XML social book search. We first propose recommendation degree of a tagged word based on a user’s long-term social relation and short-term relation respectively, and the combined recommendation degree of a tagged word, then based on these definitions, we propose a new query expansion algorithm. The experimental results on real-world data show that our method has greatly increased the retrieval precise and users’ satisfaction

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  - Xinfang Li
AU  - Qiang Chen
PY  - 2015/06
DA  - 2015/06
TI  - Query Expansion Based On Both Long-Term And Short-Term Social Relation In XML Social Book Search
BT  - Proceedings of the International Conference on Management, Computer and Education Informatization
PB  - Atlantis Press
SP  - 340
EP  - 343
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-15.2015.90
DO  - 10.2991/mcei-15.2015.90
ID  - Li2015/06
ER  -