On the reuse of past optimal queries
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
A study of aboutness in information retrieval
Artificial Intelligence Review
Automatic feedback using past queries: social searching?
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Clustering user queries of a search engine
Proceedings of the 10th international conference on World Wide Web
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
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
Re-examining the potential effectiveness of interactive query expansion
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Query word deletion prediction
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Using Association Rules to Discover Search Engines Related Queries
LA-WEB '03 Proceedings of the First Conference on Latin American Web Congress
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Word association norms, mutual information, and lexicography
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
On the use of term associations in automatic information retrieval
COLING '86 Proceedings of the 11th coference on Computational linguistics
Scoring missing terms in information retrieval tasks
Proceedings of the thirteenth ACM international conference on Information and knowledge management
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
Random walks on the click graph
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Using the wisdom of the crowds for keyword generation
Proceedings of the 17th international conference on World Wide Web
Discovering key concepts in verbose queries
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
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
Reducing long queries using query quality predictors
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Web-scale distributional similarity and entity set expansion
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Query reformulation using anchor text
Proceedings of the third ACM international conference on Web search and data mining
Exploring web scale language models for search query processing
Proceedings of the 19th international conference on World wide web
Evaluating verbose query processing techniques
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Exploring reductions for long web queries
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Learning to rank query reformulations
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Improving recommendation for long-tail queries via templates
Proceedings of the 20th international conference on World wide web
Query recommendation using query logs in search engines
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
Unsupervised extraction of template structure in web search queries
Proceedings of the 21st international conference on World Wide Web
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
Efficient query recommendations in the long tail via center-piece subgraphs
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
New assessment criteria for query suggestion
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
Robust query rewriting using anchor data
Proceedings of the sixth ACM international conference on Web search and data mining
Recommending high utility query via session-flow graph
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
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Search engines are continuously looking into methods to alleviate users' effort in finding desired information. For this, all major search engines employ query suggestions methods to facilitate effective query formulation and reformulation. Providing high quality query suggestions is a critical task for search engines and so far most research efforts have focused on tapping various information available in search query logs to identify potential suggestions. By relying on this single source of information, suggestion providing systems often restrict themselves to only previously observed query sessions. Therefore, a critical challenge faced by query suggestions provision mechanism is that of coverage, i.e., the number of unique queries for which users are provided with suggestions, while keeping the suggestion quality high. To address this problem, we propose a novel way of generating suggestions for user search queries by moving beyond the dependency on search query logs and providing synthetic suggestions for web search queries. The key challenges in providing synthetic suggestions include identifying important concepts in a query and systematically exploring related concepts while ensuring that the resulting suggestions are relevant to the user query and of high utility. We present an end-to-end system to generate synthetic suggestions that builds upon novel query-level operations and combines information available from various textual sources. We evaluate our suggestion system over a large-scale real-world dataset of query logs and show that our methods increase the coverage of query-suggestion pairs by up to 39% without compromising the quality or the utility of the suggestions.