Fading Coder

One Final Commit for the Last Sprint

Building a Basic Collaborative Filtering Recommender with Python

import numpy as np def compute_pair_similarity(vec_a, vec_b): shared_mask = (vec_a > 0) & (vec_b > 0) if shared_mask.sum() == 0: return 0.0 a = vec_a * shared_mask b = vec_b * shared_mask return np.dot(a, b) / (np.linalg.norm(a) * np.linalg.norm(b)) def generate_suggestions(target_user, sc...

Implementing Recommendation Functionality

Course Overview Understanding Recommendation Systems Implementing Friend Recommendations Circle Recommendation Feature Overview Circle Recommendation Workflow Implementing Circle Recommendation Implementing Short Video Recommendation 1. Understanding Recommendation Systems 1.1 What is a Recommendati...