Agglomerative clustering of a search engine query log
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
ACM SIGIR Forum
The Wisdom of Crowds
Mining search engine query logs for query recommendation
Proceedings of the 15th international conference on World Wide Web
Determining the user intent of web search engine queries
Proceedings of the 16th international conference on World Wide Web
Improving search engines by query clustering
Journal of the American Society for Information Science and Technology
Anatomy of the long tail: ordinary people with extraordinary tastes
Proceedings of the third ACM international conference on Web search and data mining
The intention behind web queries
SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
Extending BM25 with multiple query operators
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
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In this tutorial we first characterize user queries before focusing in two important problems related to search engines: query intention prediction and query recommendation