We propose to use WordNet in the context of a new recommendation system on the web. Documents passed over are processed and the relevant senses are extracted to build a semantic network, which is used to dynamically predicts new documents. As for disambiguation we use word domain disambiguation, a technique that relies on domain labels associated to WordNet synsets. We also report the results of an experiment that has been carried out to give a quantitative estimation of the use of such a content-based user model
Using WordNet to Improve User Modelling in a Web Document Recommender System
Magnini, Bernardo;Strapparava, Carlo
2001-01-01
Abstract
We propose to use WordNet in the context of a new recommendation system on the web. Documents passed over are processed and the relevant senses are extracted to build a semantic network, which is used to dynamically predicts new documents. As for disambiguation we use word domain disambiguation, a technique that relies on domain labels associated to WordNet synsets. We also report the results of an experiment that has been carried out to give a quantitative estimation of the use of such a content-based user modelFile in questo prodotto:
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