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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 12, ISSUE 4, APRIL 2023

“CHATBOT MOVIE RECOMMENDATION SYSTEM”

Anuj Thakur , Ashhar Siddiqui , Harshal Nagpure , Ayush Thakur, Prof. Sadia Patka

DOI: 10.17148/IJARCCE.2023.124111

Abstract: A movies recommendation chatbot is an essential component of developing an effective and reliable platform for users. The chatbot should be able to provide impressive movie recommendations depending on user preferences, such as genre, year of release, language, director, actor/actress, rating and other variables. The abstract should detail the specific features of the chatbot that make it unique and more convenient than other movie recommendation platforms. Integration with various databases such as IMDB will aid in providing accurate and sufficient recommendations without causing delays by taking advantage of state-of-the-art machine learning algorithms ensuring quality service delivery. Incorporating human-like dialogue structure and suggestions built on past movies recommended can further improve user satisfaction levels. By providing comprehensive information in the abstract about a movie recommendation chatbot's design and functionality, developers can ensure more successful implementation while allowing audiences to have tailored entertainment options readily available at their fingertips.

Keywords: Movie recommendation, Language preferences, IMDB integration, Machine learning algorithms, User feedback, User history, similar movies, User-friendly interface etc.

How to Cite:

[1] Anuj Thakur , Ashhar Siddiqui , Harshal Nagpure , Ayush Thakur, Prof. Sadia Patka, ““CHATBOT MOVIE RECOMMENDATION SYSTEM”,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.124111