Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
A vector space model for automatic indexing
Communications of the ACM
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
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
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
Hourly analysis of a very large topically categorized web query log
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Automatic identification of user goals in Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
Automatic web query classification using labeled and unlabeled training data
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Cross-language text classification
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Concept-based interactive query expansion
Proceedings of the 14th ACM international conference on Information and knowledge management
Improving Automatic Query Classification via Semi-Supervised Learning
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Detecting online commercial intention (OCI)
Proceedings of the 15th international conference on World Wide Web
Building bridges for web query classification
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Robust classification of rare queries using web knowledge
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Learning query intent from regularized click graphs
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
A unified and discriminative model for query refinement
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
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
Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs
Proceedings of the 17th ACM conference on Information and knowledge management
Proceedings of the 18th international conference on World wide web
Web Query Recommendation via Sequential Query Prediction
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Efficiently inducing features of conditional random fields
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
PQC: personalized query classification
Proceedings of the 18th ACM conference on Information and knowledge management
Context-Aware Online Commercial Intention Detection
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Classification-enhanced ranking
Proceedings of the 19th international conference on World wide web
Ready to buy or just browsing?: detecting web searcher goals from interaction data
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Context-aware ranking in web search
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Context aware query classification using dynamic query window and relationship net
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Using search session context for named entity recognition in query
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Learning to combine discriminative classifiers: confidence based
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Predicting short-term interests using activity-based search context
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Search Results Clustering Based on Suffix Array and VSM
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Sparse hidden-dynamics conditional random fields for user intent understanding
Proceedings of the 20th international conference on World wide web
On the effectiveness of anonymizing networks for web search privacy
Proceedings of the 6th ACM Symposium on Information, Computer and Communications Security
Modeling and analysis of cross-session search tasks
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
People searching for people: analysis of a people search engine log
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
User-click modeling for understanding and predicting search-behavior
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
When recommendation meets mobile: contextual and personalized recommendation on the go
Proceedings of the 13th international conference on Ubiquitous computing
Designing mobile search interface with query term extraction
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part III
Improving context-aware query classification via adaptive self-training
Proceedings of the 20th ACM international conference on Information and knowledge management
ClickRank: Learning Session-Context Models to Enrich Web Search Ranking
ACM Transactions on the Web (TWEB)
Towards the taxonomy-oriented categorization of yellow pages queries
ACM Transactions on Internet Technology (TOIT)
Probabilistic models for personalizing web search
Proceedings of the fifth ACM international conference on Web search and data mining
A habit mining approach for discovering similar mobile users
Proceedings of the 21st international conference on World Wide Web
A web 2.0 approach for organizing search results using wikipedia
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Context-Aware personalized search based on user and resource profiles in folksonomies
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Classifying web search queries to identify high revenue generating customers
Journal of the American Society for Information Science and Technology
Modeling the impact of short- and long-term behavior on search personalization
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Confidence-aware graph regularization with heterogeneous pairwise features
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
An architecture for personalized health information retrieval
Proceedings of the 2012 international workshop on Smart health and wellbeing
Query classification using topic models and support vector machine
ACL '12 Proceedings of ACL 2012 Student Research Workshop
Intent and its discontents: the user at the wheel of the online video search engine
Proceedings of the 20th ACM international conference on Multimedia
Exploiting enriched contextual information for mobile app classification
Proceedings of the 21st ACM international conference on Information and knowledge management
Discovery querying in linked open data
Proceedings of the Joint EDBT/ICDT 2013 Workshops
Context mining and integration into predictive web analytics
Proceedings of the 22nd international conference on World Wide Web companion
Discovering temporal hidden contexts in web sessions for user trail prediction
Proceedings of the 22nd international conference on World Wide Web companion
"Piaf" vs "Adele": classifying encyclopedic queries using automatically labeled training data
Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
Analyzing, Detecting, and Exploiting Sentiment in Web Queries
ACM Transactions on the Web (TWEB)
Heterogeneous graph-based intent learning with queries, web pages and Wikipedia concepts
Proceedings of the 7th ACM international conference on Web search and data mining
Joint question clustering and relevance prediction for open domain non-factoid question answering
Proceedings of the 23rd international conference on World wide web
Web search query privacy: Evaluating query obfuscation and anonymizing networks
Journal of Computer Security
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Understanding users'search intent expressed through their search queries is crucial to Web search and online advertisement. Web query classification (QC) has been widely studied for this purpose. Most previous QC algorithms classify individual queries without considering their context information. However, as exemplified by the well-known example on query "jaguar", many Web queries are short and ambiguous, whose real meanings are uncertain without the context information. In this paper, we incorporate context information into the problem of query classification by using conditional random field (CRF) models. In our approach, we use neighboring queries and their corresponding clicked URLs (Web pages) in search sessions as the context information. We perform extensive experiments on real world search logs and validate the effectiveness and effciency of our approach. We show that we can improve the F1 score by 52% as compared to other state-of-the-art baselines.