Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Evaluating user interfaces to information retrieval systems: a case study on user support
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Lexical navigation: visually prompted query expansion and refinement
DL '97 Proceedings of the second ACM international conference on Digital libraries
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
A probabilistic model of information retrieval: development and comparative experiments
Information Processing and Management: an International Journal
A probabilistic model of information retrieval: development and comparative experiments Part 2
Information Processing and Management: an International Journal
An information-theoretic approach to automatic query expansion
ACM Transactions on Information Systems (TOIS)
Probabilistic query expansion using query logs
Proceedings of the 11th international conference on World Wide Web
Explorations in Automatic Thesaurus Discovery
Explorations in Automatic Thesaurus Discovery
Modern Information Retrieval
Effective Reformulation of Boolean Queries with Concept Lattices
FQAS '98 Proceedings of the Third International Conference on Flexible Query Answering Systems
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Query expansion using associated queries
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Query Recommendation Using Large-Scale Web Access Logs and Web Page Archive
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Analyzing and mining a code search engine usage log
Empirical Software Engineering
QUBiC: An adaptive approach to query-based recommendation
Journal of Intelligent Information Systems
| Hi-index | 0.00 |
Query Expansion has long been recognized as one of the effective methods in solving short queries and improving ranking accuracy in traditional IR research. Many variations of this method have been introduced throughout the past decades; however, few of them have incorporated web log information into the query expansion process. In this paper, we propose an expansion technique that expands document content at the initial index stage using queries extracted from the web log files. Our experimental results show that even with a minimal amount of real world log information available and a professionally cataloged knowledge structure to aid the search, there is still a significant improvement in using our query expansion method compared to the conventional query expansion ones.