Abstract—A text filtering system monitors a stream of incoming documents, to identify those that match the interest profiles of its users. The user interests are registered at ...
In this paper, we present an analysis based on linguistic and typographic features that allows for the identification of titles in web documents. We focus in particular on procedu...
—Content-based video indexing and retrieval has become an interesting research area with the tremendous growth in the amount of digital media. In addition to the audio-visual con...
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
Term-based representations of documents have found widespread use in information retrieval. However, one of the main shortcomings of such methods is that they largely disregard le...