BOOK-CHAPTER

Enhancing Web Search through Query Log Mining

Ji-Rong Wen

Year: 2005 IGI Global eBooks Pages: 438-442   Publisher: IGI Global

Abstract

Web query log is a type of file keeping track of the activities of the users who are utilizing a search engine. Compared to traditional information retrieval setting in which documents are the only information source available, query logs are an additional information source in the Web search setting. Based on query logs, a set of Web mining techniques, such as log-based query clustering, log-based query expansion, collaborative filtering and personalized search, could be employed to improve the performance of Web search.

Keywords:
Web search query Query expansion Web query classification Computer science Information retrieval Sargable Search engine Query optimization Web search engine Query language World Wide Web Data mining

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.41
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing
Web Data Mining and Analysis
Physical Sciences →  Computer Science →  Information Systems
Data Mining Algorithms and Applications
Physical Sciences →  Computer Science →  Information Systems

Related Documents

BOOK-CHAPTER

Enhancing Web Search through Query Log Mining

Ji-Rong Wen

IGI Global eBooks Year: 2011
BOOK-CHAPTER

Enhancing Web Search through Query Log Mining

Ji-Rong Wen

IGI Global eBooks Year: 2009 Pages: 758-763
BOOK-CHAPTER

Enhancing Web Search through Query Log Mining

Ji-Rong Wen

IGI Global eBooks Year: 2011
BOOK-CHAPTER

Enhancing Web Search through Query Expansion

Daniel Crabtree

IGI Global eBooks Year: 2009 Pages: 752-757
BOOK-CHAPTER

Enhancing Expert Search Through Query Modeling

Pavel SerdyukovSergey ChernovWolfgang Nejdl

Lecture notes in computer science Year: 2007 Pages: 737-740
© 2026 ScienceGate Book Chapters — All rights reserved.