We analyse the kinematics of probabilistic term weights at retrieval time for di erent Information Retrieval models. We present four models based on di erent notions of probabilis...
To make multimedia data easily retrieved, we use metadata to describe the information, so that search engines or other information filter tools can effectively and efficiently loc...
We research whether the inclusion of information about an information user's social environment and his position in the social network of his peers leads to an improval in sea...
Sebastian Marius Kirsch, Melanie Gnasa, Armin B. C...
Capitalizing on the intuitive underlying assumptions of Language Modelling for Ad-Hoc Retrieval we present a novel approach that is capable of injecting the user’s context of th...
Leif Azzopardi, Mark Girolami, Cornelis Joost van ...
This paper follows a formal approach to information retrieval based on statistical language models. By introducing some simple reformulations of the basic language modeling approa...