Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Reexamining the cluster hypothesis: scatter/gather on retrieval results
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic feedback using past queries: social searching?
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
The paraphrase search assistant: terminological feedback for iterative information seeking
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Results and challenges in Web search evaluation
WWW '99 Proceedings of the eighth international conference on World Wide Web
Clustering user queries of a search engine
Proceedings of the 10th international conference on World Wide Web
Probabilistic query expansion using query logs
Proceedings of the 11th international conference on World Wide Web
Modern Information Retrieval
Efficient Adaptive-Support Association Rule Mining for Recommender Systems
Data Mining and Knowledge Discovery
Local versus global link information in the Web
ACM Transactions on Information Systems (TOIS)
Journal of the American Society for Information Science and Technology
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
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Analysis of anchor text for web search
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
Discovering search engine related queries using association rules
Journal of Web Engineering
Mining related queries from search engine query logs
Proceedings of the 15th international conference on World Wide Web
Contextual relevance feedback in web information retrieval
IIiX Proceedings of the 1st international conference on Information interaction in context
Efficient interactive query expansion with complete search
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
A parametric linguistics based approach for cross-lingual web querying
Data & Knowledge Engineering
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
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
A knowledge retrieval model using ontology mining and user profiling
Integrated Computer-Aided Engineering
Inferring semantic query relations from collective user behavior
Proceedings of the 17th ACM conference on Information and knowledge management
Subjectively Related Association Term Discovery towards Personalized Web Information Retrieval
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Search shortcuts using click-through data
Proceedings of the 2009 workshop on Web Search Click Data
Proceedings of the 18th international conference on World wide web
Mining broad latent query aspects from search sessions
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
OLAP on search logs: an infrastructure supporting data-driven applications in search engines
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Context-aware query classification
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Query dependent pseudo-relevance feedback based on wikipedia
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Translating queries into snippets for improved query expansion
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Hierarchical location and topic based query expansion
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
STORIES in Time: A Graph-Based Interface for News Tracking and Discovery
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Mining linguistic cues for query expansion: applications to drug interaction search
Proceedings of the 18th ACM conference on Information and knowledge management
Aging effects on query flow graphs for query suggestion
Proceedings of the 18th ACM conference on Information and knowledge management
Query Expansion Based on Query Log and Small World Characteristic
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
Clustering query refinements by user intent
Proceedings of the 19th international conference on World wide web
Faceted exploration of image search results
Proceedings of the 19th international conference on World wide web
Visual query suggestion: Towards capturing user intent in internet image search
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Incremental algorithms for effective and efficient query recommendation
SPIRE'10 Proceedings of the 17th international conference on String processing and information retrieval
The effects of time on query flow graph-based models for query suggestion
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
Organizing and browsing image search results based on conceptual and visual similarities
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Query rewriting using monolingual statistical machine translation
Computational Linguistics
Query suggestions in the absence of query logs
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Mining Concept Sequences from Large-Scale Search Logs for Context-Aware Query Suggestion
ACM Transactions on Intelligent Systems and Technology (TIST)
Detecting Intent of Web Queries Using Questions and Answers in CQA Corpus
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Interactive sense feedback for difficult queries
Proceedings of the 20th ACM international conference on Information and knowledge management
Intent feature discovery using Q&A corpus and web data
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
Generating suggestions for queries in the long tail with an inverted index
Information Processing and Management: an International Journal
Multi-lingual web querying: a parametric linguistics based approach
NLDB'06 Proceedings of the 11th international conference on Applications of Natural Language to Information Systems
Query phrase suggestion from topically tagged session logs
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
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
DQR: a probabilistic approach to diversified query recommendation
Proceedings of the 21st ACM international conference on Information and knowledge management
The wisdom of advertisers: mining subgoals via query clustering
Proceedings of the 21st ACM international conference on Information and knowledge management
Domain dependent query reformulation for web search
Proceedings of the 21st ACM international conference on Information and knowledge management
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
Proceedings of the sixth ACM international conference on Web search and data mining
Query suggestions for textual problem solution repositories
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Ontology-based personalised retrieval in support of reminiscence
Knowledge-Based Systems
A vlHMM approach to context-aware search
ACM Transactions on the Web (TWEB)
CIDER: Concept-based image diversification, exploration, and retrieval
Information Processing and Management: an International Journal
Orthogonal query recommendation
Proceedings of the 7th ACM conference on Recommender systems
Mining search and browse logs for web search: A Survey
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Collaborative pseudo-relevance feedback
Expert Systems with Applications: An International Journal
Journal of Information Science
An Ontology-Based Query Expansion for an Agricultural Expert Retrieval System
Proceedings of International Conference on Information Integration and Web-based Applications & Services
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Despite the recent advances in search quality, the fast increase in the size of the Web collection has introduced new challenges for Web ranking algorithms. In fact, there are still many situations in which the users are presented with imprecise or very poor results. One of the key difficulties is the fact that users usually submit very short and ambiguous queries, and they do not fully specify their information needs. That is, it is necessary to improve the query formation process if better answers are to be provided. In this work we propose a novel concept-based query expansion technique, which allows disambiguating queries submitted to search engines. The concepts are extracted by analyzing and locating cycles in a special type of query relations graph. This is a directed graph built from query relations mined using association rules. The concepts related to the current query are then shown to the user who selects the one concept that he interprets is most related to his query. This concept is used to expand the original query and the expanded query is processed instead. Using a Web test collection, we show that our approach leads to gains in average precision figures of roughly 32%. Further, if the user also provides information on the type of relation between his query and the selected concept, the gains in average precision go up to roughly 52%.