Consumer health information is increasingly available online, but this vast amount of information is not necessarily accessible to general consumers. To design effective health in...
Yan Zhang, Peiling Wang, Amy Heaton, Heidi Winkler
Query Personalization is the process of dynamically enhancing a query with related user preferences stored in a user profile with the aim of providing personalized answers. The und...
Regular tree queries (RTQs) are a class of queries considered especially relevant for the expressiveness and evaluation of XML query languages. The algorithms proposed so far for ...
We propose a framework for searching the Wikipedia with contextual information. Our framework extends the typical keyword search, by considering queries of the type q, p , where q...
Antti Ukkonen, Carlos Castillo, Debora Donato, Ari...
In this paper, a novel method of relevance feedback is presented based on Support Vector Machine learning in the content-based image retrieval system. A SVM classifier can be lear...