Accurate topical categorization of user queries allows for increased effectiveness, efficiency, and revenue potential in general-purpose web search systems. Such categorization be...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
Collection selection has been a research issue for years. Typically, in related work, precomputed statistics are employed in order to estimate the expected result quality of each ...
Matthias Bender, Sebastian Michel, Peter Triantafi...
Historians and scholars can better understand historic events by studying the geographic and chronological activity of individuals who witnessed them. A lack of adequate tools to ...
Search engines represent a key component of Web economy these days. Despite that, there is not much technical literature available on their design, fine tuning, and internal oper...
Claudine Santos Badue, Ramurti A. Barbosa, Paulo B...
Song and Bruza [6] introduce a framework for Information Retrieval(IR) based on Gardenfor’s three tiered cognitive model; Conceptual Spaces[4]. They instantiate a conceptual spa...
We consider two of the most commonly cited measures of retrieval performance: average precision and R-precision. It is well known that average precision and R-precision are highly...
We describe a user study that examined the relationship between the quality of an Information Retrieval system and the effectiveness of its users in performing a task. The task i...
We present a model, based on the maximum entropy method, for analyzing various measures of retrieval performance such as average precision, R-precision, and precision-at-cutoffs....
We propose a simple method for converting many standard measures of retrieval performance into metasearch algorithms. Our focus is both on the analysis of retrieval measures thems...