Hacker News
- MovieLens: Non-commercial, personalized movie recommendations https://movielens.org/ 3 comments
- MovieLens – Non-Commercial, Personalized Movie Recommendation System https://movielens.org/ 41 comments
Linking pages
- Which Movies Are The Most Polarizing? A Statistical Analysis https://www.statsignificant.com/p/which-movies-are-the-most-polarizing 175 comments
- Are Movies Better When We Watch Them in Theaters? A Statistical Analysis https://www.statsignificant.com/p/are-movies-better-when-we-watch-them 33 comments
- GitHub - grahamjenson/list_of_recommender_systems: A List of Recommender Systems and Resources https://github.com/grahamjenson/list_of_recommender_systems 28 comments
- Which Movies Stand the Test of Time, and Which Don't? A Statistical Analysis https://www.statsignificant.com/p/which-movies-stand-the-test-of-time 13 comments
- A short introduction to Recommendation Systems http://blog.manugarri.com/a-short-introduction-to-recommendation-systems/ 6 comments
- GitHub - aceking007/100ProjectsOfCode: A list of practical knowledge-building projects. https://github.com/aceking007/100ProjectsOfCode 5 comments
- GitHub - Borisvl/bigbash: A converter that generates a bash one-liner from an SQL Select query (no DB necessary) https://github.com/zalando/bigbash 5 comments
- Amazon Personalize – Real-Time Personalization and Recommendation for Everyone | AWS News Blog https://aws.amazon.com/blogs/aws/amazon-personalize-real-time-personalization-and-recommendation-for-everyone/ 1 comment
- Amazon Personalize – Real-Time Personalization and Recommendation for Everyone | AWS News Blog https://aws.amazon.com/blogs/aws/amazon-personalize-real-time-personalization-and-recommendation-for-everyone/?linkId=60292950&sc_channel=sm&sc_content=AWS_reInvent_2018_launch_Amazon_Personalize&sc_country=Global&sc_geo=GLOBAL&sc_outcome=awareness&sc_publisher=TWITTER&trk=AWS_reInvent_2018_launch_Amazon_Personalize_TWITTER 1 comment
- Knowledge Graph Search of 60 Million Vectors with Weaviate | by Charles Pierse | Keenious | Medium https://medium.com/keenious/knowledge-graph-search-of-60-million-vectors-with-weaviate-7964657ec911 0 comments
- How to Build a Simple Movie Recommender System with Tags | by Johnson Kuan | Towards Data Science https://towardsdatascience.com/how-to-build-a-simple-movie-recommender-system-with-tags-b9ab5cb3b616 0 comments
- Big Data Processing with Apache Spark - Part 4: Spark Machine Learning https://www.infoq.com/articles/apache-spark-machine-learning 0 comments
- Importing MovieLens into OrientDB graph database | http://warriorkitty.com/site/importing-movielens-into-orientdb-graph-database/ 0 comments
- Recommendation Engine built using Spark and Python http://tech.marksblogg.com/recommendation-engine-spark-python.html 0 comments