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Folksonomies, the Semantic Web, and Movie Recommendation

Record type: Conference or Workshop Item (Paper)

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.

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Citation

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 At 4th European Semantic Web Conference, Bridging the Gap between Semantic Web and Web 2.0, Austria.

More information

Published date: 2007
Additional Information: Event Dates: 3-7th, June 2007
Venue - Dates: 4th European Semantic Web Conference, Bridging the Gap between Semantic Web and Web 2.0, Austria, 2007-06-07
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 264007
URI: http://eprints.soton.ac.uk/id/eprint/264007
PURE UUID: 394abe9c-33f1-4b36-974c-07fc0e9bc3b5

Catalogue record

Date deposited: 14 May 2007
Last modified: 18 Jul 2017 07:40

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Contributors

Author: Martin Szomszor
Author: Ciro Cattuto
Author: Harith Alani
Author: Kieron O’Hara
Author: Andrea Baldassarri
Author: Vittorio Loreto
Author: Vito D.P. Servedio

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