Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Learning search engine specific query transformations for question answering
Proceedings of the 10th international conference on World Wide Web
Modern Information Retrieval
Using part-of-speech patterns to reduce query ambiguity
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
ACM SIGIR Forum
Query type classification for web document retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
Mining anchor text for query refinement
Proceedings of the 13th international conference on World Wide Web
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
Automatic identification of user goals in Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
Generating query substitutions
Proceedings of the 15th international conference on World Wide Web
Identifying User Goals from Web Search Results
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Exploiting underrepresented query aspects for automatic query expansion
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Improving Identification of Latent User Goals through Search-Result Snippet Classification
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Determining the informational, navigational, and transactional intent of Web queries
Information Processing and Management: an International Journal
Introduction to Information Retrieval
Introduction to Information Retrieval
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
How evaluator domain expertise affects search result relevance judgments
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
Acquiring Explicit User Goals from Search Query Logs
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
The intention behind web queries
SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
Query recommendation using query logs in search engines
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
A comparison of user and system query performance predictions
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Multi-dimensional search result diversification
Proceedings of the fourth ACM international conference on Web search and data mining
Personalized web search with user geographic and temporal preferences
APWeb'11 Proceedings of the 13th Asia-Pacific web conference on Web technologies and applications
Acquiring knowledge about human goals from Search Query Logs
Information Processing and Management: an International Journal
Query Reformulation for Task-Oriented Web Searches
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
A platform for discovering and sharing confidential ballistic crime data
International Journal of Knowledge and Web Intelligence
Mining subtopics from text fragments for a web query
Information Retrieval
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The degree to which users' make their search intent explicit can be assumed to represent an upper bound on the level of service that search engines can provide. In a departure from traditional query expansion mechanisms, we introduce Intentional Query Suggestion as a novel idea that is attempting to make users' intent more explicit during search. In this paper, we present a prototypical algorithm for Intentional Query Suggestion and we discuss corresponding data from comparative experiments with traditional query suggestion mechanisms. Our preliminary results indicate that intentional query suggestions 1) diversify search result sets (i.e. it reduces result set overlap) and 2) have the potential to yield higher click-through rates than traditional query suggestions.