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
보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of u- and e- Service, Science and Technology
간기
격월간
pISSN
2005-4246
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.7 No.4