Movie Recommendation System using Content-based Filtering
Abstract & Details
Research Area
Computer Engineering
Keywords
Movie Recommendations
Content-based Filtering
Text to vector
Vector similarity
Hybrid approach
Abstract
There is already enough content available on the movie recommendation system. Showing the movie recommendations is essential so that the user need not waste a lot of time searching for the content which he/she might like. Thus, movie recommendation system plays a vital role to get user personalized movie recommendations. After searching a lot on the internet and referring to a lot of research papers, we got to know that the recommendations made using Content-based Filtering are using a single text to vector conversion technique and a single technique to find the similarity between the vectors. In this research work, we have used multiple text to vector conversion techniques and manipulated the results of the multiple algorithms to get the final recommendation list. You can think of it as a hybrid approach using the Content-based Filtering technique only.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Yeole Madhavi B. | SPCOE |
| 2 | Rokade Monika D. | SPCOE |
| 3 | Khatal Sunil S. | SPCOE |
How to Cite
Use the following formats to cite this article in your research.
APA Style
B., Yeole Madhavi, D., Rokade Monika, & S., Khatal Sunil (2021). Movie Recommendation System using Content-based Filtering. International Journal of Advance Research and Innovative Ideas In Education, 7(4), 633-648.
MLA Style
B., Yeole Madhavi, et al. "Movie Recommendation System using Content-based Filtering." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 4, 2021, pp. 633-648.
IEEE Style
Yeole Madhavi B., Rokade Monika D., and Khatal Sunil S., "Movie Recommendation System using Content-based Filtering," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 4, pp. 633-648, 2021.
Vancouver Style
B. Yeole Madhavi, D. Rokade Monika, S. Khatal Sunil. Movie Recommendation System using Content-based Filtering. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(4):633-648.
Harvard Style
B., Yeole Madhavi, D., Rokade Monika, & S., Khatal Sunil (2021) 'Movie Recommendation System using Content-based Filtering', International Journal of Advance Research and Innovative Ideas In Education, 7(4), pp. 633-648.
Chicago Style
B., Yeole Madhavi, Rokade Monika D., and Khatal Sunil S.. "Movie Recommendation System using Content-based Filtering." International Journal of Advance Research and Innovative Ideas In Education 7, no. 4 (2021): 633-648.
Turabian Style
B., Yeole Madhavi, Rokade Monika D., and Khatal Sunil S.. "Movie Recommendation System using Content-based Filtering." International Journal of Advance Research and Innovative Ideas In Education 7, no. 4 (2021): 633-648.
Related Research
Designing And Manufacturing Of Mecanum Wheel
PDF Unavailable
Experimental, Design and Development of different punch and die for head light reflectors
PDF Unavailable
Experimental Analysis of Aluminium Hybrid Material using Analytical and Experimental Method
PDF Unavailable
Effect of Slight Pitch Difference on the Fatigue Life of Bolt
PDF Unavailable