On term selection for query expansion
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Groupware and social dynamics: eight challenges for developers
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Information filtering based on user behavior analysis and best match text retrieval
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A case for interaction: a study of interactive information retrieval behavior and effectiveness
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Improving automatic query expansion
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From highly relevant to not relevant: examining different regions of relevance
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Learning users' interests by unobtrusively observing their normal behavior
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Web Document Summarisation: A Task-oriented Evaluation
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Evaluating implicit feedback models using searcher simulations
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Users want more sophisticated search assistants: results of a task-based evaluation
Journal of the American Society for Information Science and Technology
A study of interface support mechanisms for interactive information retrieval
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An implicit feedback approach for interactive information retrieval
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An iterative implicit feedback approach to personalized search
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Click data as implicit relevance feedback in web search
Information Processing and Management: an International Journal
Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search
ACM Transactions on Information Systems (TOIS)
Aggregation of web search engines based on users' preferences in WebFusion
Knowledge-Based Systems
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Time spent on a web page is sufficient to infer a user's interest
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Personalized online document, image and video recommendation via commodity eye-tracking
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An attentive self-organizing neural model for text mining
Expert Systems with Applications: An International Journal
User-oriented document summarization through vision-based eye-tracking
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Catching the drift: learning broad matches from clickthrough data
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AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
A fully automated recommender system using collaborative filters
CIIT '07 The Sixth IASTED International Conference on Communications, Internet, and Information Technology
Time spent on a web page is sufficient to infer a user's interest
EurolMSA '07 Proceedings of the Third IASTED European Conference on Internet and Multimedia Systems and Applications
An implicit feedback approach for interactive information retrieval
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Discovering implicit feedbacks from search engine log files
DS'07 Proceedings of the 10th international conference on Discovery science
Optimizing visual search with implicit user feedback in interactive video retrieval
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IRFC'11 Proceedings of the Second international conference on Multidisciplinary information retrieval facility
Large-scale validation and analysis of interleaved search evaluation
ACM Transactions on Information Systems (TOIS)
Adapting document ranking to users’ preferences using click-through data
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Data Mining and Knowledge Discovery
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Aggregated search interface preferences in multi-session search tasks
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Information Processing and Management: an International Journal
Personalised Information Retrieval: survey and classification
User Modeling and User-Adapted Interaction
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In this paper we report on the application of two contrasting types of relevance feedback for web retrieval. We compare two systems; one using explicit relevance feedback (where searchers explicitly have to mark documents relevant) and one using implicit relevance feedback (where the system endeavours to estimate relevance by mining the searcher's interaction). The feedback is used to update the display according to the user's interaction. Our research focuses on the degree to which implicit evidence of document relevance can be substituted for explicit evidence. We examine the two variations in terms of both user opinion and search effectiveness.