Hypertext and the Oxford English dictionary
Communications of the ACM
The Wisdom of Crowds
Extracting semantic relations from query logs
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Improving search engines by query clustering
Journal of the American Society for Information Science and Technology
Learning to Tag and Tagging to Learn: A Case Study on Wikipedia
IEEE Intelligent Systems
Applications of web query mining
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
A website mining model centered on user queries
EWMF'05/KDO'05 Proceedings of the 2005 joint international conference on Semantics, Web and Mining
Measuring website similarity using an entity-aware click graph
Proceedings of the 21st ACM international conference on Information and knowledge management
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Relating content is important in any document base, for example to automatically create hyperlinks. Classical techniques to relate Web content include text mining and link analysis. However, a more powerful source for semantically connecting two Web pages is user behavior. In this short summary we categorize existing approaches that use what people do in the Web to relate content and we discuss the issues and the research problems associated with this idea.