Movie Recommender System Based on K-Means Dynamic Collaborative Filtering

KEY WORDS: recommender system;content-based;collaborative; hybrid 1.INTRODUCTION A recommendation system is a class of information filtering system that predicts a customer's "rank" or "preference" for a particular object. [...]mining online feedback for movie opinions has b...

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Vydáno v:Annals of the Romanian society for cell biology Ročník 25; číslo 3; s. 6608 - 6615
Hlavní autoři: Murugan, S Ananda, Pramoth, V, Raja, P M Prasannth, Ragupathi, S
Médium: Journal Article
Jazyk:angličtina
Vydáno: Arad "Vasile Goldis" Western University Arad, Romania 01.01.2021
Témata:
Algorithms
Datasets
Filtering systems
Motion pictures
Recommender systems
Sentiment analysis
ISSN:2067-3019, 2067-8282
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Shrnutí:KEY WORDS: recommender system;content-based;collaborative; hybrid 1.INTRODUCTION A recommendation system is a class of information filtering system that predicts a customer's "rank" or "preference" for a particular object. [...]mining online feedback for movie opinions has become a more urgent practise that has drawn a lot of attention from researchers. [...]novel Relational Adaptive bootstrapping (RAP) algorithm is proposed owing to lengthen the seeds inrequiredarea using labelled origin data and correlationamong subject as well as sentiment terms. [...]using a graph-based algorithm, opinion targets are extracted, with opinion relevance of candidate calculated from mined union combined along candidate significance for producing a common metric.
Bibliografie:ObjectType-Article-1
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ISSN:2067-3019
2067-8282