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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| Published in: | Annals of the Romanian society for cell biology Vol. 25; no. 3; pp. 6608 - 6615 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Arad
"Vasile Goldis" Western University Arad, Romania
01.01.2021
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| Subjects: | |
| ISSN: | 2067-3019, 2067-8282 |
| Online Access: | Get full text |
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| Summary: | 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. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 2067-3019 2067-8282 |