Recommender systems have been a pet peeve of me for a long time, and recently I thought why not use these things to make my life easier at liip. We have a great community within the company, where most of our communication takes place on Slack. To the people born before 1990: Slack is something like irc channels only that you use it for your company and try to replace Email communication with it. (It is a quite debated topic if it is a good idea to replace Email with Slack)
So at liip we have a slack channel for everything, for #machine-learning (for topics related to machine learning), for #zh-staff (where Zürich staff announcments are made), for #lambda (my team slack channel) and so on. Everybody can create a Slack channel, invite people, and discuss interactively there. What I always found a little bit hard was «How do I know which channels to join?», since we have over 700 of those nowadays.
Wouldn’t it be cool if I had a tool that tells me, well if you like machine-learning why don’t you join our #bi (Business Intelligence) channel? Since Slack does not have this built in, I thought lets build it and show you guys how to integrate the Slack-API, Pandas (a multipurpose data scientist tool), Flask (a tiny python web server) and Heroku (a place to host your apps).
Continue reading about A recommender system for Slack with Pandas & Flask
Tags: python, Machine learning, slack, recommender, flask, collaborative filtering