Folksonomies, the Semantic Web, and Movie Recommendation
Folksonomies, the Semantic Web, and Movie Recommendation
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.
Szomszor, Martin
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Cattuto, Ciro
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Alani, Harith
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O’Hara, Kieron
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Baldassarri, Andrea
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Loreto, Vittorio
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Servedio, Vito D.P.
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2007
Szomszor, Martin
c797d2c4-7fd3-45f5-9aa6-474faf550786
Cattuto, Ciro
d0840267-68d3-42d9-b981-235c3cf03289
Alani, Harith
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O’Hara, Kieron
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Baldassarri, Andrea
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Loreto, Vittorio
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Servedio, Vito D.P.
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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.
4th European Semantic Web Conference, Bridging the Gap between Semantic Web and Web 2.0, Innsbruck, Austria.
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Conference or Workshop Item
(Paper)
Abstract
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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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, Innsbruck, 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
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Date deposited: 14 May 2007
Last modified: 15 Mar 2024 03:09
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Contributors
Author:
Martin Szomszor
Author:
Ciro Cattuto
Author:
Harith Alani
Author:
Andrea Baldassarri
Author:
Vittorio Loreto
Author:
Vito D.P. Servedio
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