Document Type
Poster
Publication Date
Spring 2024
Abstract
This project introduces a Retrieval-Augmented Film Recommendation System, developed as a Command Line Interface (CLI). It leverages advanced semantic search techniques, combined with retrieval-augmented generation, to deliver personalized movie recommendations. The system accesses extensive film metadata from two remote API sources, enriching the quality and accuracy of its suggestions. Tested across various movie preference profiles, the system adeptly adjusts its recommendations to suit individual tastes, showcasing its adaptability and the effectiveness of retrieval-augmented technology in streamlining user interactions with digital entertainment platforms.
Recommended Citation
Álvarez, Richard Anthony, "A Retrieval-Augmented Film Recommendation System" (2024). IPHS 484: Senior Seminar. Paper 34.
https://digital.kenyon.edu/dh_iphs_ss/34
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.