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Graph-powered recommendation engine in movie recommender system


Abdul Mutalib, Ratna Dewi and Hassan, Saadah and Chew, Yew Chong and Admodisastro, Novia Indriaty and Baharom, Salmi (2020) Graph-powered recommendation engine in movie recommender system. Journal of Critical Reviews, 7 (8). 1269 - 1274. ISSN 2394-5125


Usually, people will search on the Internet for movie that they want to watch. However, it is tedious to find and choose movie that matched with their preferences due to a lot of information on the Internet. Therefore, most of the movie portals are adopting recommendation engine to filter and display user’s personalized content. In this paper, MyRecMovie is presented to recommend movies by using graph-powered recommendation engine. MyRecMovie adopts content based (CB) and collaborative filtering (CF) approaches with then further enhance the recommendations with graph-powered recommendation engine to provide movie recommendations to the user.

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Official URL or Download Paper: https://www.bibliomed.org/?mno=117306

Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.31838/jcr.07.08.261
Publisher: Advanced Scientific Research
Keywords: Content-based filtering; Collaborative filtering; Graph database; Recommender systems
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 03 Sep 2021 23:50
Last Modified: 03 Sep 2021 23:51
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.31838/jcr.07.08.261
URI: http://psasir.upm.edu.my/id/eprint/89130
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