movie recommendation — 3 Technical Articles

Dec 26, 2021 · Artificial Intelligence

Building a Vector‑Based Movie Recommendation System with Transformers

This tutorial walks through constructing a movie recommendation engine by downloading a dataset, cleaning and de‑duplicating entries, encoding plot summaries into vectors with transformer models, and performing nearest‑neighbor searches using scikit‑learn, while handling misspellings with Levenshtein distance.

Levenshtein distancemovie recommendationpandas

0 likes · 8 min read

Building a Vector‑Based Movie Recommendation System with Transformers

Python Programming Learning Circle

Jun 11, 2020 · Artificial Intelligence

Step-by-Step Guide to Building a Movie Recommendation System with TensorFlow

This tutorial walks through collecting and cleaning the MovieLens dataset, constructing rating and record matrices, normalizing ratings, defining a collaborative‑filtering model in TensorFlow, training it with Adam optimizer, evaluating performance, and finally generating personalized movie recommendations for a chosen user.

TensorFlowcollaborative filteringdata preprocessing

0 likes · 10 min read

Step-by-Step Guide to Building a Movie Recommendation System with TensorFlow

21CTO

Feb 27, 2016 · Artificial Intelligence

How User‑Based Collaborative Filtering Powers Modern Recommendation Systems

This article explains the fundamentals of recommendation algorithms, focusing on user‑based collaborative filtering, similarity metrics, neighbor selection, scoring methods, practical implementation with the MovieLens dataset, and common challenges such as popularity bias and dirty data.

collaborative filteringmachine learningmovie recommendation

0 likes · 12 min read

How User‑Based Collaborative Filtering Powers Modern Recommendation Systems