In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Although personalized search has been proposed for many years and many personalization strategies have been investigated, it is still unclear whether personalization is consistent...
In this paper, we present an online citation entry clustering system based on three-tier clustering. The objective is to further process search results returned by bibliography dat...
The amount of available digital multimedia has seen exponential growth in recent years. While advances have been made in the indexing and searching of images and videos, less focu...
Faceted search is becoming a popular method to allow users to interactively search and navigate complex information spaces. A faceted search system presents users with keyvalue me...