원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.7 No.4
2014.08
pp.263-276
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Query suggestion has become one of the most fundamental features of search engines. It
attempts to suggest a series of similar queries for improving the search effectiveness. The
paper proposed a new query suggestion method which is based on themes and context.
Different from previous work, it measure similar queries from the level of semantic level and
a new similar queries metric is presented. Furthermore, how to choose similar queries for
suggestion is discussed and a new method is proposed. In the new query suggestion method,
not only theme, but also query context has been taken into considerate. Experiments show
that the new query suggestion method significantly outperformed than related works.
목차
Abstract
1. Introduction
2. Related Work
3. New Query Suggestion Method Based on Theme and Context
3.1. Similar Queries Metric
3.2. Query Suggestion
4. Evaluation
4.1. Data Set
4.2. Clustered Results Analysis
4.3. Query Suggestion Evaluation
5. Conclusion and Future Work
References
1. Introduction
2. Related Work
3. New Query Suggestion Method Based on Theme and Context
3.1. Similar Queries Metric
3.2. Query Suggestion
4. Evaluation
4.1. Data Set
4.2. Clustered Results Analysis
4.3. Query Suggestion Evaluation
5. Conclusion and Future Work
References
저자정보
참고문헌
자료제공 : 네이버학술정보