Folksonomies, the Semantic Web, and Movie Recommendation

Szomszor, Martin, Cattuto, Ciro, Alani, Harith, O’Hara, Kieron, Baldassarri, Andrea, Loreto, Vittorio and Servedio, Vito D.P. (2007) Folksonomies, the Semantic Web, and Movie Recommendation. In, 4th European Semantic Web Conference, Bridging the Gap between Semantic Web and Web 2.0, Innsbruck, Austria, 07 - 03 Jun 2007.


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While the Semantic Web has evolved to support the meaningful exchange of heterogeneous data through shared and controlled conceptualisations, Web 2.0 has demonstrated that large-scale community tagging sites can enrich the semantic web with readily accessible and valuable knowledge. In this paper, we investigate the integration of a movies folksonomy with a semantic knowledge base about user-movie rentals. The folksonomy is used to enrich the knowledge base with descriptions and categorisations of movie titles, and user interests and opinions. Using tags harvested from the Internet Movie Database, and movie rating data gathered by Netflix, we perform experiments to investigate the question that folksonomy-generated movie tag-clouds can be used to construct better user profiles that reflect a user's level of interest in different kinds of movies, and therefore, provide a basis for prediction of their rating for a previously unseen movie.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: 3-7th, June 2007
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
ePrint ID: 264007
Accepted Date and Publication Date:
Date Deposited: 14 May 2007
Last Modified: 31 Mar 2016 14:08
Further Information:Google Scholar

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