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
Journal of the American Society for Information Science and Technology
A web-based kernel function for measuring the similarity of short text snippets
Proceedings of the 15th international conference on World Wide Web
Generating query substitutions
Proceedings of the 15th international conference on World Wide Web
Mining search engine query logs for query recommendation
Proceedings of the 15th international conference on World Wide Web
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
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
Random walks on the click graph
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Discovering key concepts in verbose queries
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Graphs from Search Engine Queries
SOFSEM '07 Proceedings of the 33rd conference on Current Trends in Theory and Practice of Computer Science
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
Learning latent semantic relations from clickthrough data for query suggestion
Proceedings of the 17th ACM conference on Information and knowledge management
Identification of ambiguous queries in web search
Information Processing and Management: an International Journal
Entropy-biased models for query representation on the click graph
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
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
Discovering missing click-through query language information for web search
Proceedings of the 20th ACM international conference on Information and knowledge management
Modeling higher-order term dependencies in information retrieval using query hypergraphs
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
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Query suggestion helps users to precisely express their search intents. The state-of-the-art approaches make great progress on high-frequency queries via click graphs. However, due to query ambiguity and click-through data sparseness, these approaches are limited to reality applications. To address the issue, this paper models both semantic and behavioral relations on hybrid bipartite graphs from click logs. Firstly, to overcome the sparseness, a semantic relation graph is established by multiple morphemes (queries, keywords, phrases and entities), independently of clicks. And then semantic relations between queries and other morphemes on the graph are used to find similar queries for query description. Secondly, in order to find related queries for multiple user intents, a behavioral relation graph is constructed by three kinds of user behaviors. Global clicks between queries and URLs display multiple intents by all users; local clicks imply personal preference by a single user; and query formulations in a session represent relations between queries. Finally, two hybrid methods are proposed to combine both semantic and behavioral relations to suggest related queries. To illustrate our methods, we employ the AOL query log data for query suggestion tasks. Experimental results demonstrate that more than 46.5% of queries get improved suggestions compared with the baseline click models.