A probabilistic information filtering using the profile dynamics

This paper presents an algorithm for learning incrementally the profile of a user, based on an (optional) initial user profile and on user´s queries using probabilistic latent semantic analysis. A new model, a temporal latent semantic space, is introduced in order to keep track of the user´s interests´ changes. The results of the retrieval experiments using this new algorithm are compared with other traditional information retrieval techniques.