Collaborative Filtering

This book constitutes refereed proceedings of the Third International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2022, held in April, 2022.
The 9 full papers and 4 short papers were carefully reviewed and selected from 34 submissions. The papers cover topics that go from search and recommendation in online dating, education, and social media, over the impact of gender bias in word embeddings, to tools that allow to explore bias and fairnesson the Web.

This book constitutes refereed proceedings of the Third International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2022, held in April, 2022.

The most in-depth course on recommendation systems with deep learning, machine learning, data science, and AI techniques

Build Recommender Systems for Real World Applications using Machine Learning

The most in-depth course on recommendation systems with deep learning, machine learning, data science, and AI techniques

Collaborative Filtering with Python, Celery, Django, Worker Processes, Batch Predictions, SurpriseML, Keras, and more!

Learn advance machine learning concepts and build next generation AI systems