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
The Use of Implicit Evidence for Relevance Feedback in Web Retrieval
Proceedings of the 24th BCS-IRSG European Colloquium on IR Research: Advances in Information Retrieval
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Implicit feedback for inferring user preference: a bibliography
ACM SIGIR Forum
Implicit user profiling for on demand relevance feedback
Proceedings of the 9th international conference on Intelligent user interfaces
Display time as implicit feedback: understanding task effects
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
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
SWISH: semantic analysis of window titles and switching history
Proceedings of the 11th international conference on Intelligent user interfaces
Using web browser interactions to predict task
Proceedings of the 15th international conference on World Wide Web
Proceedings of the 2006 ACM symposium on Applied computing
The impact of task on the usage of web browser navigation mechanisms
GI '06 Proceedings of Graphics Interface 2006
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
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
Bayesian adaptive user profiling with explicit & implicit feedback
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Combining multiple forms of evidence while filtering
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Utilizing a geometry of context for enhanced implicit feedback
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
A hybrid approach for extracting informative content from web pages
Information Processing and Management: an International Journal
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Recent researches on improving the efficiency and user experience of Web browsing on handhelds are seeking to solve the problem by re-authoring Web pages or making adaptations and recommendations according to user preference. Their basis is a good understanding of the relationship between user behaviors and user preference. We propose a practical method to find user's interest blocks by machine learning using the combination of significant implicit evidences, which is extracted from four aspects of user behaviors: display time, viewing information items, scrolling and link selection. We also develop a customized Web browser for small screen devices to collect user behaviors accurately. For evaluation, we conduct an on-line user study and make statistical analysis based on the dataset, which shows that most types of the suggested implicit evidences are significant, and viewing information items is the least indicative aspect of user behaviors. The dataset is then processed off-line to find user's interest blocks using the proposed method. Experimental results demonstrate the effectiveness of finding user's interest blocks by machine learning using the combination of significant implicit evidences. Further analysis reveals the great effect of users and moderate effect of Websites on the usefulness of significant implicit evidences.