Earticle

초록

영어

Web queries clustering attract great concern recently. It is crucial for capturing frequently asked questions in question-answering system, most popular topics in search engine or automatic query expansion in information retrieval. The paper presents a new algorithm of web queries clustering using user click information in the query logs and applies it into query expansion. Different from previous work, in the new algorithm both word form and semantic information have been taken into considered. Experiments show that the new algorithm works effectively.

목차

Abstract
 1. Introduction
 2. Related Works
 3. A New Algorithm of Web Queries Clustering
  3.1. Similar Queries Metric
  3.2. Queries Clustering
 4. Evaluation
  4.1. Data Set
  4.2. Results Analysis
 5. Conclusion and Future Work
 References

키워드

저자

• Lingling Meng [ Computer Science and Technology Department, Department of Educational Information Technology, East China Normal University, Shanghai, 200062, China ]
• Runqing Huang [ Shanghai Municipal People's Government, Shanghai, 200003, China ]
• Junzhong Gu [ Computer Science and Technology Department, East China Normal University, Shanghai, 200062, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605