Query Expansion Based On Both Long-Term And Short-Term Social Relation In XML Social Book Search
- Xinfang Li, Qiang Chen
- Corresponding Author
- Xinfang Li
Available Online June 2015.
- https://doi.org/10.2991/mcei-15.2015.90How to use a DOI?
- Query expansion; Long-term social relation; Short-term social relation; Book search; Recommendation degree
- 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
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - International Conference on Management, Computer and Education Informatization PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/mcei-15.2015.90 DO - https://doi.org/10.2991/mcei-15.2015.90 ID - Li2015/06 ER -