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Recommender Systems allow people to find the resources they need by making use of the experiences and opinions of their nearest neighbours. Costly annotations by experts are replaced by a distributed process where the users take the initiative. While the collaborative approach enables the collection of a vast amount of data, a new issue arises: the quality(More)
In today's connected world it is possible and very common to interact with unknown people, whose reliability is unknown. Trust Metrics are a recently proposed technique for answering questions such as " Should I trust this user? ". However, most of the current research assumes that every user has a global quality score and that the goal of the technique is(More)
In today's connected world it is possible and indeed quite common to interact with unknown people, whose reliability is unknown. Trust Met-rics are a technique for answering questions such as " Should I trust this person? ". However, most of the current research assumes that every user has a global quality score everyone agree on and the goal of the(More)
The proliferation of text documents on the web as well as within institutions necessitates their convenient organization to enable efficient retrieval of information. Although text corpora are frequently organized into concept hierarchies or taxonomies, the classification of the documents into the hierarchy is expensive in terms human effort. We present a(More)
Ontology matching is one of the biggest challenges of Semantic Web research. In the last years the number of matching techniques and systems has significantly increased, and this, in turn, has raised the issue of their evaluation and comparison. In this paper we present a mapping dataset extracted from the Google, Yahoo and Looksmart web directories. This(More)
Over the past few years the web has experienced an exponential growth in the use of weblogs or blogs, web sites containing journal-style entries presented in reverse chronological order. In this paper we provide an analysis of the type of recommendation strategy suitable for this domain. We introduce measures to characterise the blogosphere in terms of(More)
Recommender Systems (RS) suggests to users items they will like based on their past opinions. Collaborative Filtering (CF) is the most used technique to assess user similarity between users but very often the sparseness of user profiles prevents the computation. Moreover CF doesn't take into account the reliability of the other users. In this paper we(More)