We present a demo application of a web-based recommender systems that is powered by the 'Movie Genome', i.e., a rich semantic description of a movie's content, including state-of-The-Art audio and visual descriptors and metadata (genre and tags). The current version of the Movie Genome web application implements content-based filtering approaches. Due to its modular implementation and the free availability of its source code, it can be easily extended to various context-Aware and user-Aware scenarios. A personality questionnaire is already integrated into the web application, which allows it to also serve as testbed for personality-Aware recommendation algorithms.

Movie Genome Recommender: A Novel Recommender System Based on Multimedia Content / Deldjoo, Yashar; Schedl, Markus; Elahi, Mehdi. - ELETTRONICO. - (2019). (Intervento presentato al convegno 17th International Conference on Content-Based Multimedia Indexing, CBMI 2019 tenutosi a Dublin, Ireland nel September 4-6, 2019) [10.1109/CBMI.2019.8877452].

Movie Genome Recommender: A Novel Recommender System Based on Multimedia Content

Yashar Deldjoo
;
2019-01-01

Abstract

We present a demo application of a web-based recommender systems that is powered by the 'Movie Genome', i.e., a rich semantic description of a movie's content, including state-of-The-Art audio and visual descriptors and metadata (genre and tags). The current version of the Movie Genome web application implements content-based filtering approaches. Due to its modular implementation and the free availability of its source code, it can be easily extended to various context-Aware and user-Aware scenarios. A personality questionnaire is already integrated into the web application, which allows it to also serve as testbed for personality-Aware recommendation algorithms.
2019
17th International Conference on Content-Based Multimedia Indexing, CBMI 2019
978-1-7281-4673-7
Movie Genome Recommender: A Novel Recommender System Based on Multimedia Content / Deldjoo, Yashar; Schedl, Markus; Elahi, Mehdi. - ELETTRONICO. - (2019). (Intervento presentato al convegno 17th International Conference on Content-Based Multimedia Indexing, CBMI 2019 tenutosi a Dublin, Ireland nel September 4-6, 2019) [10.1109/CBMI.2019.8877452].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/196530
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