We report on the effectiveness of language models for personalization of retrieval results based on a searcher’s preference for document genre. In principle, such preferences ca...
Gheorghe Muresan, Catherine L. Smith, Michael Cole...
The classical Probability Ranking Principle (PRP) forms the theoretical basis for probabilistic Information Retrieval (IR) models, which are dominating IR theory since about 20 ye...
Context modeling has been long acknowledged as a key aspect in a wide variety of problem domains. In this paper we focus on the combination of contextualization and personalizatio...
Phivos Mylonas, David Vallet, Pablo Castells, Miri...
The detection of new information in a document stream is an important component of many potential applications. In this paper, a new novelty detection approach based on the identi...
For modeling the interpretation process of NL sentences we use the mechanisms implying semantic networks that assure syntactic – semantic text interpretation (SSI), including an...