Movie Recommendation Framework

Project Card

  • Category: Recommender System
  • Date: Since January 2021
  • Affiliation: Independent Research
  • Stack: Python, Keras, Pytorch
  • Related Links: GitHub

Various developed movie/video recommendation frameworks and tools based on the visual and multimodal features of full-length movies, trailers, and movie shots. These frameworks are designed to provide personalized recommendations for users.

F. Nazary, A. Tourani, Y. Deldjoo, and T. Di Noia, "ViLLA-MMBench: A Unified Benchmark Suite for LLM-Augmented Multimodal Movie Recommendation," ACM Transactions on Recommender Systems, [under review], 2025, DOI: 10.48550/arXiv.2508.04206.

A. Tourani, F. Nazary, and Y. Deldjoo, "RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in Recommendation," ACM Transactions on Recommender Systems, [under review], 2025, DOI: 10.48550/arXiv.2506.20817.