This paper proposes an approach of extracting simple and effective features that enhances multilingual document ranking (MLDR). There is limited prior research on capturing the co...
In this paper we propose a novel sentence retrieval method based on extracting highly frequent terms from top retrieved documents. We compare it against state of the art sentence r...
P2P deployments are a natural infrastructure for building distributed search networks. Proposed systems support locating and retrieving all results, but lack the information necess...
Vijay Gopalakrishnan, Ruggero Morselli, Bobby Bhat...
Web Directories are repositories of Web pages organized in a hierarchy of topics and sub-topics. In this paper, we present DirectoryRank, a ranking framework that orders the pages...
Vlassis Krikos, Sofia Stamou, Pavlos Kokosis, Alex...
Many real-world data mining tasks require the achievement of two distinct goals when applied to unseen data: first, to induce an accurate preference ranking, and second to give g...