Episode 14 - Johns Favourite Topic: Recommender Systems

Welcome to PyDataMCR Episode 14, today Jennifer and John are talking about Recommender Systems, where you can find them, and why they are still so difficult

Sponsors

Cathcart Associates - cathcartassociates.com/

Horsefly Analytics - horseflyanalytics.com/

Our Collaborators:

HER+data - meetup.com/HER-Data-MCR/

Pyladies - twitter.com/pyladiesnwuk

Django Girls - djangogirls.org/

Python NW - meetup.com/Python-North-West-Meetup/

Open Data Manchester - opendatamanchester.org.uk/

Lambda Lounge - http://lambdalounge.org.uk/

Resources:

Netflix Prize https://en.wikipedia.org/wiki/Netflix_Prize

Youtube Recommendation System https://arxiv.org/abs/1607.07326

Google Recommenation System Course https://developers.google.com/machine-learning/recommendation

AirBnB Paper https://medium.com/airbnb-engineering/listing-embeddings-for-similar-listing-recommendations-and-real-time-personalization-in-search-601172f7603e

Social

Meetup - meetup.com/PyData-Manchester/

Slack -  http://bit.ly/35KGOgR

Twitter - @PyDataMCR