Graph-powered recommendation engine in movie recommender system
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 displa...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Advanced Scientific Research
2020
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| Online Access: | http://psasir.upm.edu.my/id/eprint/89130/ http://psasir.upm.edu.my/id/eprint/89130/1/GRAPH.pdf |
| _version_ | 1848860779555586048 |
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| author | Abdul Mutalib, Ratna Dewi Hassan, Saadah Chew, Yew Chong Admodisastro, Novia Indriaty Baharom, Salmi |
| author_facet | Abdul Mutalib, Ratna Dewi Hassan, Saadah Chew, Yew Chong Admodisastro, Novia Indriaty Baharom, Salmi |
| author_sort | Abdul Mutalib, Ratna Dewi |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T12:50:40Z |
| format | Article |
| id | upm-89130 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:50:40Z |
| publishDate | 2020 |
| publisher | Advanced Scientific Research |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-891302021-09-03T23:51:12Z http://psasir.upm.edu.my/id/eprint/89130/ Graph-powered recommendation engine in movie recommender system Abdul Mutalib, Ratna Dewi Hassan, Saadah Chew, Yew Chong Admodisastro, Novia Indriaty Baharom, Salmi 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. Advanced Scientific Research 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/89130/1/GRAPH.pdf 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 https://www.bibliomed.org/?mno=117306 10.31838/jcr.07.08.261 |
| spellingShingle | Abdul Mutalib, Ratna Dewi Hassan, Saadah Chew, Yew Chong Admodisastro, Novia Indriaty Baharom, Salmi Graph-powered recommendation engine in movie recommender system |
| title | Graph-powered recommendation engine in movie recommender system |
| title_full | Graph-powered recommendation engine in movie recommender system |
| title_fullStr | Graph-powered recommendation engine in movie recommender system |
| title_full_unstemmed | Graph-powered recommendation engine in movie recommender system |
| title_short | Graph-powered recommendation engine in movie recommender system |
| title_sort | graph-powered recommendation engine in movie recommender system |
| url | http://psasir.upm.edu.my/id/eprint/89130/ http://psasir.upm.edu.my/id/eprint/89130/ http://psasir.upm.edu.my/id/eprint/89130/ http://psasir.upm.edu.my/id/eprint/89130/1/GRAPH.pdf |