Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Large scale query log analysis of re-finding
Proceedings of the third ACM international conference on Web search and data mining
Personalized news recommendation based on click behavior
Proceedings of the 15th international conference on Intelligent user interfaces
Predicting short-term interests using activity-based search context
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Fast app launching for mobile devices using predictive user context
Proceedings of the 10th international conference on Mobile systems, applications, and services
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As web and mobile applications become more sensitive to the user context, there is a shift from purely off-line processing of user actions (log analysis) to real-time user analytics that can generate information about the user context to be instantly leveraged by the application. Ubeone is a system that enables both real-time and aggregate analytics from user data. The system is designed as a set of lightweight, composeable mechanisms that can progressively and collectively analyze a user action, such as pinning, saving or printing a web page. We will demonstrate the system capabilities on analyzing a live feed of URLs printed through a proprietary, web browser plug-in. This is in fact the first analysis of web printing activity. We will also give a taste of how the system can enable instant recommendations based on the user context.