Imitation in artificial systems involves a number of important aspects, such as extracting the relevant features of the demonstrated behaviour, inverse mapping observations, and e...
Information overload has become an important problem in the internet, and that all kinds of existing ads flood into people’s eyes causes scarcity of user’s attention. To provi...
We describe a method for applying parsimonious language models to re-estimate the term probabilities assigned by relevance models. We apply our method to six topic sets from test ...
Edgar Meij, Wouter Weerkamp, Krisztian Balog, Maar...
We consider the problem of evaluating retrieval systems using a limited number of relevance judgments. Recent work has demonstrated that one can accurately estimate average precis...
Possible-world semantics are provided for Parikh’s relevance-sensitive model for belief revision. Having Grove’s system-of-spheres construction as a base, we consider addition...