Information filtering based on user behavior analysis and best match text retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
From reading to retrieval: freeform ink annotations as queries
Proceedings of the 22nd 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
Proceedings of the 6th international conference on Intelligent user interfaces
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Implicit feedback for inferring user preference: a bibliography
ACM SIGIR Forum
Display time as implicit feedback: understanding task effects
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluating implicit measures to improve web search
ACM Transactions on Information Systems (TOIS)
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
A study on the effects of personalization and task information on implicit feedback performance
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search
ACM Transactions on Information Systems (TOIS)
Eye movements as implicit relevance feedback
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Personalized web exploration with task models
Proceedings of the 17th international conference on World Wide Web
Seeing is retrieving: building information context from what the user sees
Proceedings of the 13th international conference on Intelligent user interfaces
Query expansion using gaze-based feedback on the subdocument level
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Affective feedback: an investigation into the role of emotions in the information seeking process
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Some(what) grand challenges for information retrieval
ACM SIGIR Forum
Implicit relevance feedback from eye movements
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Towards predicting web searcher gaze position from mouse movements
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Understanding web browsing behaviors through Weibull analysis of dwell time
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Detecting success in mobile search from interaction
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Click shaping to optimize multiple objectives
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Attentive documents: Eye tracking as implicit feedback for information retrieval and beyond
ACM Transactions on Interactive Intelligent Systems (TiiS)
Proceedings of the 21st international conference on World Wide Web
User see, user point: gaze and cursor alignment in web search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Search intent estimation from user's eye movements for supporting information seeking
Proceedings of the International Working Conference on Advanced Visual Interfaces
Personalized click shaping through lagrangian duality for online recommendation
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Predicting query reformulation type from user behavior
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Improving search result summaries by using searcher behavior data
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Human behavior sensing for tag relevance assessment
Proceedings of the 21st ACM international conference on Multimedia
Improving passage ranking with user behavior information
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Modeling dwell time to predict click-level satisfaction
Proceedings of the 7th ACM international conference on Web search and data mining
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We examine two basic sources for implicit relevance feedback on the segment level for search personalization: eye tracking and display time. A controlled study has been conducted where 32 participants had to view documents in front of an eye tracker, query a search engine, and give explicit relevance ratings for the results. We examined the performance of the basic implicit feedback methods with respect to improved ranking and compared their performance to a pseudo relevance feedback baseline on the segment level and the original ranking of a Web search engine. Our results show that feedback based on display time on the segment level is much coarser than feedback from eye tracking. But surprisingly, for re-ranking and query expansion it did work as well as eye-tracking-based feedback. All behavior-based methods performed significantly better than our non-behavior-based baseline and especially improved poor initial rankings of the Web search engine. The study shows that segment-level display time yields comparable results as eye-tracking-based feedback. Thus, it should be considered in future personalization systems as an inexpensive but precise method for implicit feedback.