Student's Project
Recommendation System
Computer Science And Engineering
Objective
- Analyse emotional arcs in films to recommend based on user preference for an rrative flow (e.g., overcoming adversity, self-discovery).
- Explore stylistic recommendation based on technical aspects like cinematography to investigate user taste in film form and craft.
- Identify thematic niches (e.g., social commentary) to understand user interest beyond genre.
- Predict genre evolution by recommending based on emerging stylistic trends within a genre.
- Personalize hidden gem discovery by recommending lesser-known films with high content similarity to user favorites.
Description
Project demonstrates the feasibility of using content-based methods like K-means clustering for movie recommendations, offering a valuable tool for movie enthusiasts to discover new films tailored to their tastes.
Team Members
- Abhinav Garg
- Anmol Khurana
- Anmol Saini
Mentors
Mentor: Dr. Prachi Chauhan
Download Brochure
admission@coeruniversity.ac.in
+91 80705 00600
