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
Fast and effective query refinement
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Analysis of a very large web search engine query log
ACM SIGIR Forum
Agglomerative clustering of a search engine query log
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Query clustering using user logs
ACM Transactions on Information Systems (TOIS)
Diffusion Kernels on Graphs and Other Discrete Input Spaces
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
SimRank: a measure of structural-context similarity
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Laplacian Eigenmaps for dimensionality reduction and data representation
Neural Computation
Query Expansion by Mining User Logs
IEEE Transactions on Knowledge and Data Engineering
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
Diffusion Kernels on Statistical Manifolds
The Journal of Machine Learning Research
Web-page summarization using clickthrough data
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Efficient and self-tuning incremental query expansion for top-k query processing
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Finding similar questions in large question and answer archives
Proceedings of the 14th ACM international conference on Information and knowledge management
Generating query substitutions
Proceedings of the 15th international conference on World Wide Web
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
Improving web search ranking by incorporating user behavior information
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Personalized query expansion for the web
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Learn from web search logs to organize search results
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
DiffusionRank: a possible penicillin for web spamming
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Cross-lingual query suggestion using query logs of different languages
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Combining content and link for classification using matrix factorization
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Extracting semantic relations from query logs
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning multiple graphs for document recommendations
Proceedings of the 17th international conference on World Wide Web
Mining web query hierarchies from clickthrough data
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
What you seek is what you get: extraction of class attributes from query logs
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Query recommendation using query logs in search engines
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
Analysis of long queries in a large scale search log
Proceedings of the 2009 workshop on Web Search Click Data
Intentional query suggestion: making user goals more explicit during search
Proceedings of the 2009 workshop on Web Search Click Data
A generalized Co-HITS algorithm and its application to bipartite graphs
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Intent based clustering of search engine query log
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
A brief survey of computational approaches in social computing
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A structured approach to query recommendation with social annotation data
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
i-TEL-u: a query suggestion tool for integrating heterogeneous contexts in a digital library
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Learning similarity function for rare queries
Proceedings of the fourth ACM international conference on Web search and data mining
A unified framework for recommending diverse and relevant queries
Proceedings of the 20th international conference on World wide web
Query suggestions in the absence of query logs
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Post-ranking query suggestion by diversifying search results
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Proceedings of the 20th ACM international conference on Information and knowledge management
The role of query sessions in extracting instance attributes from web search queries
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Structured query suggestion for specialization and parallel movement: effect on search behaviors
Proceedings of the 21st international conference on World Wide Web
Query recommendation by modelling the query-flow graph
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Adaptive query suggestion for difficult queries
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
More than relevance: high utility query recommendation by mining users' search behaviors
Proceedings of the 21st ACM international conference on Information and knowledge management
Learning query and document similarities from click-through bipartite graph with metadata
Proceedings of the sixth ACM international conference on Web search and data mining
Building Multi-Modal Relational Graphs for Multimedia Retrieval
International Journal of Multimedia Data Engineering & Management
Generating relevant and diverse query suggestions using sparse manifold ranking with sink regions
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I
Query suggestions for textual problem solution repositories
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Recommending high utility query via session-flow graph
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Annotation for free: video tagging by mining user search behavior
Proceedings of the 21st ACM international conference on Multimedia
Modeling semantic and behavioral relations for query suggestion
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
Expert Systems with Applications: An International Journal
Relational term-suggestion graphs incorporating multipartite concept and expertise networks
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Intelligent Mobile Knowledge Discovery and Management Systems and Special Issue on Social Web Mining
When do people use query suggestion? A query suggestion log analysis
Information Retrieval
Learning bilinear model for matching queries and documents
The Journal of Machine Learning Research
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For a given query raised by a specific user, the Query Suggestion technique aims to recommend relevant queries which potentially suit the information needs of that user. Due to the complexity of the Web structure and the ambiguity of users' inputs, most of the suggestion algorithms suffer from the problem of poor recommendation accuracy. In this paper, aiming at providing semantically relevant queries for users, we develop a novel, effective and efficient two-level query suggestion model by mining clickthrough data, in the form of two bipartite graphs (user-query and query-URL bipartite graphs) extracted from the clickthrough data. Based on this, we first propose a joint matrix factorization method which utilizes two bipartite graphs to learn the low-rank query latent feature space, and then build a query similarity graph based on the features. After that, we design an online ranking algorithm to propagate similarities on the query similarity graph, and finally recommend latent semantically relevant queries to users. Experimental analysis on the clickthrough data of a commercial search engine shows the effectiveness and the efficiency of our method.