Abstract: Recommender systems play a crucial role in music streaming services like Spotify to help users discover music that aligns with their preferences. The goal of this research is to create a ...
Abstract: To address the challenges of data sparsity, cold start, and insufficient dynamic adaptability in traditional recommendation systems, this study proposes a personalized recommendation model ...
This project presents a Movie Recommendation System built using collaborative filtering techniques, specifically leveraging Singular Value Decomposition (SVD) for matrix factorization. The primary ...
Using the same $(\theta_0,\theta_1)$ as above, calculate the stochastic gradient for all points in the dataset. Then, find the average of all those gradients and show that the stochastic gradient is a ...