Adapting to rank address the the problem of insufficient domainspecific labeled training data in learning to rank. However, the initial study shows that adaptation is not always...
Keke Chen, Jing Bai, Srihari Reddy, Belle L. Tseng
There are several pieces of information that can be utilized in order to improve the efficiency of similarity searches on high-dimensional data. The most commonly used information...
Given some of the recent advances in Distributed Hash Table (DHT) based Peer-To-Peer (P2P) systems we ask the following questions: Are there applications where unstructured querie...
This work presents the architecture of PROSIDIS, a special purpose processor designed to search for the occurrence of substrings similar to a given ‘template string’ within a ...
Alessandro Marongiu, Paolo Palazzari, Vittorio Ros...
Abstract. This paper describes CAP7, a system for searching and browsing in distributed document (metadata) collections. The system architecture is similar to Harvest, comprising g...