This paper studies a new query on uncertain data, called k-selection query. Given an uncertain dataset of N objects, where each object is associated with a preference score and a p...
Xingjie Liu, Mao Ye, Jianliang Xu, Yuan Tian, Wang...
We propose a model that leverages the millions of clicks received by web search engines to predict document relevance. This allows the comparison of ranking functions when clicks ...
As the set of available Web Services expands, it becomes increasingly important to have automated tools to help identify services that match a requester's requirements. Findi...
Link analysis is a critical component of current Internet search engines' results ranking software, which determines the ordering of query results returned to the user. The o...
In this paper we describe a problem of discovering query clusters from a click-through graph of web search logs. The graph consists of a set of web search queries, a set of pages ...