An experimental comparison of click position-bias models
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Query-sets: using implicit feedback and query patterns to organize web documents
Proceedings of the 17th international conference on World Wide Web
Search shortcuts using click-through data
Proceedings of the 2009 workshop on Web Search Click Data
Search shortcuts: driving users towards their goals
Proceedings of the 18th international conference on World wide web
Relating content through web usage
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Effective anonymization of query logs
Proceedings of the 18th ACM conference on Information and knowledge management
Image annotation using clickthrough data
Proceedings of the ACM International Conference on Image and Video Retrieval
Enhancing Web Search by Aggregating Results of Related Web Queries
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
Mining Query Logs: Turning Search Usage Data into Knowledge
Foundations and Trends in Information Retrieval
Query intent prediction and recommendation
Proceedings of the fourth ACM conference on Recommender systems
Result enrichment in commerce search using browse trails
Proceedings of the fourth ACM international conference on Web search and data mining
Context-sensitive query auto-completion
Proceedings of the 20th international conference on World wide web
The sum of its parts: reducing sparsity in click estimation with query segments
Information Retrieval
Reliability and effectiveness of clickthrough data for automatic image annotation
Multimedia Tools and Applications
Sequence clustering and labeling for unsupervised query intent discovery
Proceedings of the fifth ACM international conference on Web search and data mining
User k-anonymity for privacy preserving data mining of query logs
Information Processing and Management: an International Journal
A feature-free search query classification approach using semantic distance
Expert Systems with Applications: An International Journal
Proceedings of the sixth ACM international conference on Web search and data mining
QUBiC: An adaptive approach to query-based recommendation
Journal of Intelligent Information Systems
Journal of Information Science
Efficient error-tolerant query autocompletion
Proceedings of the VLDB Endowment
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In this paper, we present a framework for clustering Web search engine queries whose aim is to identify groups of queries used to search for similar information on the Web. The framework is based on a novel term vector model of queries that integrates user selections and the content of selected documents extracted from the logs of a search engine. The query representation obtained allows us to treat query clustering similarly to standard document clustering. We study the application of the clustering framework to two problems: relevance ranking boosting and query recommendation. Finally, we evaluate with experiments the effectiveness of our approach. © 2007 Wiley Periodicals, Inc.