In this paper, we propose to model the blended search problem by assuming conditional dependencies among queries, VSEs and search results. The probability distributions of this mo...
A very common issue of adaptive Web-Based systems is the modeling of documents. Such documents represent domain-specific information for a number of purposes. Application areas su...
Self-propagating codes, called worms, such as Code Red, Nimda, and Slammer, have drawn significant attention due to their enormous adverse impact on the Internet. There is a grea...
In this paper, we introduce a frame metadata model to facilitate the continuous association rules of web transactions. A new set of association rules can be derived with the updat...
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...