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.

PDF | DOI: 10.17148/IJARCCE.2023.124111

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