Omar Cortassa

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This paper aims to demonstrate that the principles of adaptation and user mod-eling, especially social annotation, can be integrated fruitfully with those of the Web 2.0 paradigm and thereby enhance in the domain of cultural heritage. We propose a framework for improving recommender systems through exploiting the users tagging activity. We maintain that Web(More)
Social tagging is a kind of social annotation by which users label resources, typically web objects, by means of keywords with the goal of sharing, discovering and recovering them. In this paper we investigate the possibility of exploiting the user tagging activity in order to infer knowledge about the user. Up to now the relation between tagging and user(More)
This paper presents an approach to exploit widely used tag annotations to address two important issues in user-adaptive systems: the cold-start problem and the integration of distributed user models. The paper provides an example of re-use of user interaction data (tags) generated by one application into another one in similar domains for providing(More)
This paper presents an approach that shows how user interaction data (tags) generated by one application can be exploited by another one in similar domain for integrating user models in distributed and interactive environments. In particular we discuss the tags interoperability among two adaptive systems into the cultural heritage domain.
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