Knowledge expansion of metadata using script mining analysis in multimedia recommendation

In this paper, a method for knowledge expansion of metadata using script mining analysis for multimedia recommendation systems is proposed. The method allows the extraction of new metadata and knowledge expansion through the mining analysis of multimedia scripts, which include a large amount of info...

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Veröffentlicht in:	Multimedia tools and applications 2021-11, Vol.80 (26-27), p.34679-34695
Hauptverfasser:	Kim, Joo-Chang, Chung, Kyung-Yong
Format:	Artikel
Sprache:	eng
Schlagworte:	Clustering Computer Communication Networks Computer Science Data mining Data Structures and Information Theory Keywords Knowledge Knowledge bases (artificial intelligence) Metadata Multimedia Multimedia Information Systems Names Programming languages Recommender systems Scanning Scripts Search engines Sentences Sentiment analysis Similarity Special Purpose and Application-Based Systems
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