Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
IR evaluation methods for retrieving highly relevant documents
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Agglomerative clustering of a search engine query log
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Optimizing search by showing results in context
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Machine Learning
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
Learning to rank using gradient descent
ICML '05 Proceedings of the 22nd international conference on Machine learning
KDD CUP-2005 report: facing a great challenge
ACM SIGKDD Explorations Newsletter
Q2C@UST: our winning solution to query classification in KDDCUP 2005
ACM SIGKDD Explorations Newsletter
The Ferrety algorithm for the KDD Cup 2005 problem
ACM SIGKDD Explorations Newsletter
Classifying search engine queries using the web as background knowledge
ACM SIGKDD Explorations Newsletter
A web-based kernel function for measuring the similarity of short text snippets
Proceedings of the 15th international conference on World Wide Web
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
Building bridges for web query classification
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic classification of Web queries using very large unlabeled query logs
ACM Transactions on Information Systems (TOIS)
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
An experimental comparison of click position-bias models
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Classifying search queries using the Web as a source of knowledge
ACM Transactions on the Web (TWEB)
A dynamic bayesian network click model for web search ranking
Proceedings of the 18th international conference on World wide web
Click chain model in web search
Proceedings of the 18th international conference on World wide web
Context-aware query classification
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Smoothing clickthrough data for web search ranking
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
On the local optimality of LambdaRank
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Estimating query performance using class predictions
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Adapting boosting for information retrieval measures
Information Retrieval
LETOR: A benchmark collection for research on learning to rank for information retrieval
Information Retrieval
Mining Historic Query Trails to Label Long and Rare Search Engine Queries
ACM Transactions on the Web (TWEB)
Predicting short-term interests using activity-based search context
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Personalizing web search results by reading level
Proceedings of the 20th ACM international conference on Information and knowledge management
Characterizing web content, user interests, and search behavior by reading level and topic
Proceedings of the fifth ACM international conference on Web search and data mining
Probabilistic models for personalizing web search
Proceedings of the fifth ACM international conference on Web search and data mining
Machine learning for query-document matching in search
Proceedings of the fifth ACM international conference on Web search and data mining
Evaluating the effectiveness of search task trails
Proceedings of the 21st international conference on World Wide Web
Modeling and predicting behavioral dynamics on the web
Proceedings of the 21st international conference on World Wide Web
Leveraging interlingual classification to improve web search
Proceedings of the 21st international conference companion on World Wide Web
The search dashboard: how reflection and comparison impact search behavior
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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
Studies of the onset and persistence of medical concerns in search logs
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Search, interrupted: understanding and predicting search task continuation
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Group matrix factorization for scalable topic modeling
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Beyond bag-of-words: machine learning for query-document matching in web search
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Playing by the rules: mining query associations to predict search performance
Proceedings of the sixth ACM international conference on Web search and data mining
Retrieval of Web Pages on Real-World Events related to Physical Objects
International Journal of Information Retrieval Research
Designing human-readable user profiles for search evaluation
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Toward whole-session relevance: exploring intrinsic diversity in web search
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Inferring the demographics of search users: social data meets search queries
Proceedings of the 22nd international conference on World Wide Web
From cookies to cooks: insights on dietary patterns via analysis of web usage logs
Proceedings of the 22nd international conference on World Wide Web
Enhancing personalized search by mining and modeling task behavior
Proceedings of the 22nd international conference on World Wide Web
Behavioral dynamics on the web: Learning, modeling, and prediction
ACM Transactions on Information Systems (TOIS)
Estimating the relative utility of networks for predicting user activities
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Semantic contextual advertising based on the open directory project
ACM Transactions on the Web (TWEB)
Modeling dwell time to predict click-level satisfaction
Proceedings of the 7th ACM international conference on Web search and data mining
From devices to people: attribution of search activity in multi-user settings
Proceedings of the 23rd international conference on World wide web
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Many have speculated that classifying web pages can improve a search engine's ranking of results. Intuitively results should be more relevant when they match the class of a query. We present a simple framework for classification-enhanced ranking that uses clicks in combination with the classification of web pages to derive a class distribution for the query. We then go on to define a variety of features that capture the match between the class distributions of a web page and a query, the ambiguity of a query, and the coverage of a retrieved result relative to a query's set of classes. Experimental results demonstrate that a ranker learned with these features significantly improves ranking over a competitive baseline. Furthermore, our methodology is agnostic with respect to the classification space and can be used to derive query classes for a variety of different taxonomies.