This paper proposes GBM (gravitation-based model), a physical model for information retrieval inspired by Newton’s theory of gravitation. A mapping is built in this model from c...
Most image retrieval systems only allow a fragment of text or an example image as a query. Most users have more complex information needs that are not easily expressed in either of...
We propose a hybridization of collaborative filtering and content based recommendation system. Attributes used for content based recommendations are assigned weights depending on ...
This paper presents work done at Cambridge University, on the TREC7 Spoken Document Retrieval (SDR) Track. The broadcast news audio was transcribed using a 2-pass gender-dependent...
Sue E. Johnson, P. Jourlin, G. L. Moore, Karen Spa...
Recent work in supervised learning of term-based retrieval models has shown significantly improved accuracy can often be achieved via better model estimation [2, 10, 11, 17]. In ...