Communications of the ACM
Scaling personalized web search
WWW '03 Proceedings of the 12th international conference on World Wide Web
Ontology-based personalized search and browsing
Web Intelligence and Agent Systems
Evaluating implicit measures to improve web search
ACM Transactions on Information Systems (TOIS)
Analysis of topic dynamics in web search
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Context-sensitive information retrieval using implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Using ODP metadata to personalize search
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
The loquacious user: a document-independent source of terms for query expansion
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Personalized Search Based on User Search Histories
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)
TREC: Experiment and Evaluation in Information Retrieval (Digital Libraries and Electronic Publishing)
Learning user interaction models for predicting web search result preferences
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
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
Mining long-term search history to improve search accuracy
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Interest-based personalized search
ACM Transactions on Information Systems (TOIS)
Investigating behavioral variability in web search
Proceedings of the 16th international conference on World Wide Web
Predictive user click models based on click-through history
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
To personalize or not to personalize: modeling queries with variation in user intent
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
How people recall, recognize, and reuse search results
ACM Transactions on Information Systems (TOIS)
Understanding the relationship between searchers' queries and information goals
Proceedings of the 17th ACM conference on Information and knowledge management
Context-aware query classification
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Predicting user interests from contextual information
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Learning to Disambiguate Search Queries from Short Sessions
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Beyond DCG: user behavior as a predictor of a successful search
Proceedings of the third ACM international conference on Web search and data mining
Classification-enhanced ranking
Proceedings of the 19th international conference on World wide web
Context-aware ranking in web search
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Mining Historic Query Trails to Label Long and Rare Search Engine Queries
ACM Transactions on the Web (TWEB)
Inferring and using location metadata to personalize web search
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Find it if you can: a game for modeling different types of web search success using interaction data
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
Towards contextual search: social networks, short contexts and multiple personas
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Mining Concept Sequences from Large-Scale Search Logs for Context-Aware Query Suggestion
ACM Transactions on Intelligent Systems and Technology (TIST)
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
A noise-aware click model for web search
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
Evaluating the effectiveness of search task trails
Proceedings of the 21st international conference on World Wide Web
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
Automatic taxonomy construction from keywords
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
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
Robust ranking models via risk-sensitive optimization
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Text selections as implicit relevance feedback
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
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
Characterizing and supporting cross-device search tasks
Proceedings of the sixth ACM international conference on Web search and data mining
Directing exploratory search: reinforcement learning from user interactions with keywords
Proceedings of the 2013 international conference on Intelligent user interfaces
SciNet: a system for browsing scientific literature through keyword manipulation
Proceedings of the companion publication of the 2013 international conference on Intelligent user interfaces companion
Journal of Web Engineering
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
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
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)
Behavioral dynamics on the web: Learning, modeling, and prediction
ACM Transactions on Information Systems (TOIS)
Adaptive visualization for exploratory information retrieval
Information Processing and Management: an International Journal
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Personalization of web-search using short-term browsing context
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
User analytics with UbeOne: insights into web printing
Proceedings of the VLDB Endowment
Context Oriented Analysis of Interest Reflection of Tweeted Webpages based on Browsing Behavior
Proceedings of International Conference on Information Integration and Web-based Applications & Services
Adapting deep RankNet for personalized search
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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A query considered in isolation offers limited information about a searcher's intent. Query context that considers pre-query activity (e.g., previous queries and page visits), can provide richer information about search intentions. In this paper, we describe a study in which we developed and evaluated user interest models for the current query, its context (from pre-query session activity), and their combination, which we refer to as intent. Using large-scale logs, we evaluate how accurately each model predicts the user's short-term interests under various experimental conditions. In our study we: (i) determine the extent of opportunity for using context to model intent; (ii) compare the utility of different sources of behavioral evidence (queries, search result clicks, and Web page visits) for building predictive interest models, and; (iii) investigate optimally combining the query and its context by learning a model that predicts the context weight for each query. Our findings demonstrate significant opportunity in leveraging contextual information, show that context and source influence predictive accuracy, and show that we can learn a near-optimal combination of the query and context for each query. The findings can inform the design of search systems that leverage contextual information to better understand, model, and serve searchers' information needs.