Metadata in movies recommendation: a comparison among different approaches (2013)
- Authors:
- Autor USP: MANZATO, MARCELO GARCIA - ICMC
- Unidade: ICMC
- Subjects: MULTIMÍDIA INTERATIVA; WORLD WIDE WEB
- Language: Inglês
- Imprenta:
- ISBN: 9781450317061
- Source:
- Título: Proceedings
- Conference titles: Brazilian Symposium on Multimedia and the Web - WebMedia
-
ABNT
PERCEVALI, Lucas Tobal e MANZATO, Marcelo Garcia. Metadata in movies recommendation: a comparison among different approaches. 2013, Anais.. New York: ACM, 2013. . Acesso em: 11 fev. 2026. -
APA
Percevali, L. T., & Manzato, M. G. (2013). Metadata in movies recommendation: a comparison among different approaches. In Proceedings. New York: ACM. -
NLM
Percevali LT, Manzato MG. Metadata in movies recommendation: a comparison among different approaches. Proceedings. 2013 ;[citado 2026 fev. 11 ] -
Vancouver
Percevali LT, Manzato MG. Metadata in movies recommendation: a comparison among different approaches. Proceedings. 2013 ;[citado 2026 fev. 11 ] - gSVD++: supporting implicit feedback on recommender systems with metadata awareness
- A collaborative filtering approach based on user's reviews
- Multimodal interactions in recommender systems: an ensembling approach
- Exploiting feature extraction techniques on users' reviews for movies recommendation
- Exploiting item representations for soft clustering recommendation
- Combining different metadata views for better recommendation accuracy
- CoBaR: confidence-based recommender
- Ensemble learning in recommender systems: combining multiple user interactions for ranking personalization
- Personalized ranking of movies: evaluating different metadata types and recommendation strategies
- Evaluating multiple user interactions for ranking personalization using ensemble methods
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