We describe a system for rapidly determining document similarity among a set of documents obtained from an information retrieval (IR) system. We obtain a ranked list of the most i...
We present a novel passage-based approach to re-ranking documents in an initially retrieved list so as to improve precision at top ranks. While most work on passage-based document...
Abstract. Conventional web search engines retrieve too many documents for the majority of the submitted queries; therefore, they possess a good recall, since there are far more pag...
M. Barouni-Ebrahimi, Ebrahim Bagheri, Ali A. Ghorb...
In this paper we present how sharing and utilizing mind maps could enhance search applications such as document search engines and recommender systems. In addition, we briefly pre...
Abstract. Most Information Retrieval models take documents as Bagof-Words and are thereby bound to the language of the documents. In this paper, we present an approach using Linked...