WordNet: a lexical database for English
Communications of the ACM
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
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
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 11th international conference on World Wide Web
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Perceptual user interfaces using vision-based eye tracking
Proceedings of the 5th international conference on Multimodal interfaces
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
CubeSVD: a novel approach to personalized Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
Detecting spam web pages through content analysis
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
A large-scale evaluation and analysis of personalized search strategies
Proceedings of the 16th international conference on World Wide Web
Personalized query expansion for the web
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Web search personalization with ontological user profiles
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Constructing visual phrases for effective and efficient object-based image retrieval
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
It's in your eyes: towards context-awareness and mobile HCI using wearable EOG goggles
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Personalized online document, image and video recommendation via commodity eye-tracking
Proceedings of the 2008 ACM conference on Recommender systems
User-oriented document summarization through vision-based eye-tracking
Proceedings of the 14th international conference on Intelligent user interfaces
Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography
Pervasive '08 Proceedings of the 6th International Conference on Pervasive Computing
A user-oriented webpage ranking algorithm based on user attention time
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Visual foraging of highlighted text: an eye-tracking study
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Capturing user reading behaviors for personalized document summarization
Proceedings of the 16th international conference on Intelligent user interfaces
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We propose a new method for personalized webpage recommendation. The method is capable of inferring a user's personal reading interest distribution according to implicit user feedbacks coming from the user's past online reading activities. With the inferred user reading interest distribution, we can recommend webpages in a search result set to a user in a personalized way. Our method is featured by its novel approach to observe the facial expressions and gaze positions of a user during the user's online reading activities as two types of implicit user feedbacks for estimating the user's reading interest distribution. To capture these implicit user feedbacks, we use an ordinary web camera and a customized web browser in the setup. The setup allows us to measure the distribution of the reading time a user spends in his or her reading activities over materials of different contents. With all the captured information, our method then estimates a user's reading interest distribution by finding correlations between the implicit feedbacks of a user with the contents of the read materials. Given the estimated user reading interest distribution, our algorithm can further predict the user's potential reading interest in any new webpage. Consequently, our algorithm can produce a personalized webpage recommendation for all the result webpages in an online search session. We compared the performance of our method with that of several mainstream commercial search engines as well as a recent personalized webpage ranking algorithm. The comparison results clearly show the superiority of our new method for personalized webpage recommendation.