Open access Jurnal SINTA 1
A semantic similarity search engine for movies
International Journal of Electrical and Computer Engineering (IJECE) · Vol. 14 No. 6 (2024)
- ISSN
- 2722-2578, 2088-8708
- Published
- 2024-12-01
- Publisher
- Institute of Advanced Engineering and Science
Abstract
Semantic similarity has been gaining traction in the field of natural language processing. It is a measure of how similar two pieces of text are in terms of their meaning. It can be used to improve search engine results. We propose a deep learning-based approach to build a semantic similarity search engine for movies based on a movie summary. Filmmakers can gain insight into audience preferences and trends, allowing them to create more engaging and successful films. The dataset used in this study was gathered from internet movie database (IMDb), it includes movie summaries along with their corresponding name movies. The test dataset was generated using ChatGPT to be very close to human input. The universal sentence encoder (USE) model presented promising results in semantic similarity, the model results show that for the top 5 similar movies, the model returned 176 out of 300 movies (58.6%). For the top 10 similar movies, the model returned 211 out of 300 movies (70.3%). Additionally, for the top 15 similar movies, the model returned 229 out of 300 movies (76.3%). And, for the top 20 similar movies, the model returned 249 of 300 movies (83%). This method can be applied to movie recommendation systems or to organize films in a collection automatically.
Collaboration network of the authors
34 authors · 113 co-authorship links · 2 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Jordan University of Science and Technology
- State University of Makassar
- Universitas Halu Oleo
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Muslim Tadjuddah | Affiliation unknown | 12 |
| Naslina Alimina | Affiliation unknown | 12 |
| Abdullah Abdullah | Affiliation unknown | 8 |
| Syamsul Kamri | Affiliation unknown | 8 |
| Hasnia Arami | Affiliation unknown | 7 |
| Abd Al-Rahman Odeh | Affiliation unknown | 1 |
| Kadek Lindawati | Affiliation unknown | 1 |
| Romy Ketjulan | Affiliation unknown | 1 |
| La Ode Abdul Muis | Affiliation unknown | 1 |
| Dita Safitri | Affiliation unknown | 1 |
| Abdullah | Affiliation unknown | 1 |
| Fajeria - | Affiliation unknown | 1 |
| Ilma Lana | Affiliation unknown | 1 |
| Nur Insyania | Affiliation unknown | 1 |
| Farid Rezal | Affiliation unknown | 1 |
| Wildayanti Wildayanti | Affiliation unknown | 1 |
| Indrayani Indrayani | State University of Makassar | 1 |
| La Ode Wahid Yudin | Affiliation unknown | 1 |
| Lusi Dwi Apriliani | Affiliation unknown | 1 |
| Wa Ode Sitti Hardian Sari | Affiliation unknown | 1 |
| Muh Ikhsan Taher | Affiliation unknown | 1 |
| Dito Hermansyah | Affiliation unknown | 1 |
| Fajar Indah Ningsih | Affiliation unknown | 1 |
| Sarini Yusuf Abadi | Affiliation unknown | 1 |
| Samsuddin Samsuddin | Affiliation unknown | 1 |
| Ermayanti Ishak | Affiliation unknown | 1 |
| Abdul Latif | Affiliation unknown | 1 |
| Muzuni Muzuni | Affiliation unknown | 1 |
| Ma’ruf Kasim | Universitas Halu Oleo | 1 |
| Abdul Muis Balubi | Affiliation unknown | 1 |
| Wardha Jalil | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.