Patterns of search: analyzing and modeling Web query refinement
UM '99 Proceedings of the seventh international conference on User modeling
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
Query Expansion by Mining User Logs
IEEE Transactions on Knowledge and Data Engineering
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
Mining anchor text for query refinement
Proceedings of the 13th international conference on World Wide Web
Communications of the ACM - Supporting exploratory search
Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
Generating query substitutions
Proceedings of the 15th international conference on World Wide Web
Examining the effectiveness of real-time query expansion
Information Processing and Management: an International Journal
Information re-retrieval: repeat queries in Yahoo's logs
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Studying the use of popular destinations to enhance web search interaction
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Understanding the relationship of information need specificity to search query length
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Determining the informational, navigational, and transactional intent of Web queries
Information Processing and Management: an International Journal
Query suggestions for mobile search: understanding usage patterns
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Ambiguous queries: test collections need more sense
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
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
Understanding the relationship between searchers' queries and information goals
Proceedings of the 17th ACM conference on Information and knowledge management
Query suggestion using hitting time
Proceedings of the 17th ACM conference on Information and knowledge management
Mining term association patterns from search logs for effective query reformulation
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
Learning latent semantic relations from clickthrough data for query suggestion
Proceedings of the 17th ACM conference on Information and knowledge management
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Identification of ambiguous queries in web search
Information Processing and Management: an International Journal
Organizing Suggestions in Autocompletion Interfaces
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Web Query Recommendation via Sequential Query Prediction
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Patterns of query reformulation during Web searching
Journal of the American Society for Information Science and Technology
A comparison of query and term suggestion features for interactive searching
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
From "Dango" to "Japanese Cakes": Query Reformulation Models and Patterns
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Analyzing and evaluating query reformulation strategies in web search logs
Proceedings of the 18th ACM conference on Information and knowledge management
Analysis of multiple query reformulations on the web: The interactive information retrieval context
Information Processing and Management: an International Journal
Query reformulation using anchor text
Proceedings of the third ACM international conference on Web search and data mining
An optimization framework for query recommendation
Proceedings of the third ACM international conference on Web search and data mining
Effects of popularity and quality on the usage of query suggestions during information search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Exploiting query reformulations for web search result diversification
Proceedings of the 19th international conference on World wide web
Optimal rare query suggestion with implicit user feedback
Proceedings of the 19th international conference on World wide web
Mining Query Logs: Turning Search Usage Data into Knowledge
Foundations and Trends in Information Retrieval
Learning query ambiguity models by using search logs
Journal of Computer Science and Technology
Post-ranking query suggestion by diversifying search results
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Query suggestion by constructing term-transition graphs
Proceedings of the fifth ACM international conference on Web search 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
Structured query suggestion for specialization and parallel movement: effect on search behaviors
Proceedings of the 21st international conference on World Wide Web
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Query suggestion, which enables the user to revise a query with a single click, has become one of the most fundamental features of Web search engines. However, it has not been clear what circumstances cause the user to turn to query suggestion. In order to investigate when and how the user uses query suggestion, we analyzed three kinds of data sets obtained from a major commercial Web search engine, comprising approximately 126 million unique queries, 876 million query suggestions and 306 million action patterns of users. Our analysis shows that query suggestions are often used (1) when the original query is a rare query, (2) when the original query is a single-term query, (3) when query suggestions are unambiguous, (4) when query suggestions are generalizations or error corrections of the original query, and (5) after the user has clicked on several URLs in the first search result page. Our results suggest that search engines should provide better assistance especially when rare or single-term queries are input, and that they should dynamically provide query suggestions according to the searcher's current state.