Patterns of search: analyzing and modeling Web query refinement
UM '99 Proceedings of the seventh international conference on User modeling
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Context-sensitive information retrieval using implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Accurately interpreting clickthrough data as implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Personalizing search via automated analysis of interests and activities
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Q2C@UST: our winning solution to query classification in KDDCUP 2005
ACM SIGKDD Explorations Newsletter
Generating query substitutions
Proceedings of the 15th international conference on World Wide Web
Automatic identification of user interest for personalized search
Proceedings of the 15th international conference on World Wide Web
Mining long-term search history to improve search accuracy
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
A large-scale evaluation and analysis of personalized search strategies
Proceedings of the 16th international conference on World Wide Web
Information re-retrieval: repeat queries in Yahoo's logs
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Studying the use of popular destinations to enhance web search interaction
SIGIR '07 Proceedings of the 30th 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
Efficient multiple-click models in web search
Proceedings of the Second ACM International Conference on Web Search and Data Mining
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
Predicting short-term interests using activity-based search context
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
User-click modeling for understanding and predicting search-behavior
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Towards contextual search: social networks, short contexts and multiple personas
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Upper-bound approximations for dynamic pruning
ACM Transactions on Information Systems (TOIS)
Predicting Next Search Actions with Search Engine Query Logs
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Context-aware search personalization with concept preference
Proceedings of the 20th ACM international conference on Information and knowledge management
A noise-aware click model for web 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
Measuring usefulness of context for context-aware ranking
Proceedings of the 21st international conference companion on World Wide Web
A probabilistic topic model with social tags for query reformulation in informational search
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
A comparative survey of Personalised Information Retrieval and Adaptive Hypermedia techniques
Information Processing and Management: an International Journal
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
Explaining query modifications: an alternative interpretation of term addition and removal
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
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
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
Anticipatory search: using context to initiate search
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
Proceedings of the 20th ACM international conference on Multimedia
Identifying users' topical tasks in web search
Proceedings of the sixth ACM international conference on Web search and data mining
Proceedings of the sixth ACM international conference on Web search and data mining
Beliefs and biases in web search
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Fighting search engine amnesia: reranking repeated results
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Learning to personalize query auto-completion
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
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
Enhancing personalized search by mining and modeling task behavior
Proceedings of the 22nd international conference on World Wide Web
A vlHMM approach to context-aware search
ACM Transactions on the Web (TWEB)
Personalization of web-search using short-term browsing context
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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
Survey of social search from the perspectives of the village paradigm and online social networks
Journal of Information Science
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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The context of a search query often provides a search engine meaningful hints for answering the current query better. Previous studies on context-aware search were either focused on the development of context models or limited to a relatively small scale investigation under a controlled laboratory setting. Particularly, about context-aware ranking for Web search, the following two critical problems are largely remained unsolved. First, how can we take advantage of different types of contexts in ranking? Second, how can we integrate context information into a ranking model? In this paper, we tackle the above two essential problems analytically and empirically. We develop different ranking principles for different types of contexts. Moreover, we adopt a learning-to-rank approach and integrate the ranking principles into a state-of-the-art ranking model by encoding the context information as features of the model. We empirically test our approach using a large search log data set obtained from a major commercial search engine. Our evaluation uses both human judgments and implicit user click data. The experimental results clearly show that our context-aware ranking approach improves the ranking of a commercial search engine which ignores context information. Furthermore, our method outperforms a baseline method which considers context information in ranking.