A Deep Learning Based Context-Aware Recommendation Library
3rd Year: 1st - 92. A Novel Context Aware Restaurant Recommender System Using Content-Boosted Collaborative Filtering (CACBCF).
UPNEXT: Content-based and Context-Aware Movie Recommender System
This project implements and evaluates ENSFM for recommendation systems on modern, large-scale e-commerce datasets. The research focuses on assessing the scalability, efficiency, and accuracy of ENSFM when applied to real-world datasets from Amazon Books and Yelp
An advanced hybrid recommendation system that combines collaborative filtering and content-based filtering approaches, enhanced with temporal awareness and contextual personalization
An adaptive e-reader mobile application with music changing based on current text context. Uses AI and NLP to dynamically adjust ongoing soundtrack for enhanced reading immersion.
Advanced Data Mining Final Project - March 17, 2022
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