In this paper we describe an Information Retrieval problem called collection fusion. The collection fusion problem is to maximize the number of relevant natural language documents...
Geoffrey G. Towell, Ellen M. Voorhees, Narendra Ku...
In this paper we tackle the problem of document image retrieval by combining a similarity measure between documents and the probability that a given document belongs to a certain ...
Albert Gordo, Jaume Gibert, Ernest Valveny, Mar&cc...
This paper introduces a general framework for the use of translation probabilities in cross-language information retrieval based on the notion that information retrieval fundament...
Anecdotal evidence suggests that story-level information is important for the speech component of video retrieval. In this paper we perform a systematic examination of the combina...
Two stages in measurement of techniques for information retrieval are gathering of documents for relevance assessment and use of the assessments to numerically evaluate effective...