Finding k-cuts within twice the optimal
SFCS '91 Proceedings of the 32nd annual symposium on Foundations of computer science
ACM Computing Surveys (CSUR)
Agglomerative clustering of a search engine query log
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Clustering user queries of a search engine
Proceedings of the 10th international conference on World Wide Web
Probabilistic query expansion using query logs
Proceedings of the 11th international conference on World Wide Web
Journal of the American Society for Information Science and Technology
Using terminological feedback for web search refinement: a log-based study
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Query expansion using associated queries
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Machine Learning
Aggregating inconsistent information: ranking and clustering
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
Semantic similarity between search engine queries using temporal correlation
WWW '05 Proceedings of the 14th international conference on World Wide Web
Concept-based interactive query expansion
Proceedings of the 14th ACM international conference on Information and knowledge management
Mining search engine query logs for query recommendation
Proceedings of the 15th international conference on World Wide Web
Random walks on the click graph
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Information Retrieval
Introduction to Information Retrieval
Polynomial algorithm for the k-cut problem
SFCS '88 Proceedings of the 29th Annual Symposium on Foundations of Computer Science
Context-aware query suggestion by mining click-through and session data
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Query suggestion using hitting time
Proceedings of the 17th ACM conference on Information and knowledge management
The query-flow graph: model and applications
Proceedings of the 17th ACM conference on Information and knowledge management
Web Query Recommendation via Sequential Query Prediction
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Mining broad latent query aspects from search sessions
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Query recommendation using query logs in search engines
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
Query similarity by projecting the query-flow graph
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Organizing query completions for web search
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Shopping for products you don't know you need
Proceedings of the fourth ACM international conference on Web search and data mining
Improving recommendation for long-tail queries via templates
Proceedings of the 20th international conference on World wide web
Context-sensitive query auto-completion
Proceedings of the 20th international conference on World wide web
Efficient diversification of web search results
Proceedings of the VLDB Endowment
Personalized web search with user geographic and temporal preferences
APWeb'11 Proceedings of the 13th Asia-Pacific web conference on Web technologies and applications
Query reformulation mining: models, patterns, and applications
Information Retrieval
Mining Concept Sequences from Large-Scale Search Logs for Context-Aware Query Suggestion
ACM Transactions on Intelligent Systems and Technology (TIST)
Multi-view random walk framework for search task discovery from click-through log
Proceedings of the 20th ACM international conference on Information and knowledge management
Using query log and social tagging to refine queries based on latent topics
Proceedings of the 20th ACM international conference on Information and knowledge management
Topic modeling for named entity queries
Proceedings of the 20th ACM international conference on Information and knowledge management
Sequence clustering and labeling for unsupervised query intent discovery
Proceedings of the fifth ACM international conference on Web search and data mining
Structured query suggestion for specialization and parallel movement: effect on search behaviors
Proceedings of the 21st international conference on World Wide Web
Incorporating seasonal time series analysis with search behavior information in sales forecasting
Proceedings of the 21st international conference companion on World Wide Web
Information Retrieval
Dynamic refinement of search engines results utilizing the user intervention
Journal of Systems and Software
Automatic taxonomy construction from keywords
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning to suggest: a machine learning framework for ranking query suggestions
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Intent-aware temporal query modeling for keyword suggestion
Proceedings of the 5th Ph.D. workshop on Information and knowledge
Incorporating variability in user behavior into systems based evaluation
Proceedings of the 21st ACM international conference on Information and knowledge management
The wisdom of advertisers: mining subgoals via query clustering
Proceedings of the 21st ACM international conference on Information and knowledge management
Enabling direct interest-aware audience selection
Proceedings of the 21st ACM international conference on Information and knowledge management
Proactive natural language search engine: tapping into structured data on the web
Proceedings of the 16th International Conference on Extending Database Technology
Recommending high utility query via session-flow graph
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Combining content and quality indicators in ranking ambiguous query results on Flickr
ADC '12 Proceedings of the Twenty-Third Australasian Database Conference - Volume 124
Time-aware structured query suggestion
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
A vlHMM approach to context-aware search
ACM Transactions on the Web (TWEB)
Unsupervised identification of synonymous query intent templates for attribute intents
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Efficient error-tolerant query autocompletion
Proceedings of the VLDB Endowment
Crowdsourcing-assisted query structure interpretation
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Heterogeneous graph-based intent learning with queries, web pages and Wikipedia concepts
Proceedings of the 7th ACM international conference on Web search and data mining
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We address the problem of clustering the refinements of a user search query. The clusters computed by our proposed algorithm can be used to improve the selection and placement of the query suggestions proposed by a search engine, and can also serve to summarize the different aspects of information relevant to the original user query. Our algorithm clusters refinements based on their likely underlying user intents by combining document click and session co-occurrence information. At its core, our algorithm operates by performing multiple random walks on a Markov graph that approximates user search behavior. A user study performed on top search engine queries shows that our clusters are rated better than corresponding clusters computed using approaches that use only document click or only sessions co-occurrence information.