Episode 14 - Johns Favourite Topic: Recommender Systems PyDataMCR

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