~/talk

Building a recommendation engine with Python and Neo4j

Talkat PyData London 2016 · 2016-05-06..05-08· [python, databases]
links:none on file
slides:none on file

Shows how to build a Meetup.com recommendation engine using Python and the Neo4j graph database, combining content-based and collaborative filtering into a hybrid system. Demonstrates evolving the solution from scratch, modelling decisions and how to incorporate multiple data sources (Meetup and Twitter APIs) and factors to improve recommendations.

AI-written summary · about

~/search
type to search 6,249 conferences, 138,987 speakers and 185,172 talks
~/help
cmdctrl k
search every conference, speaker and series
/
focus the filter search
h
home
c
conferences
s
speakers
e
series
t
light / dark — the status bar button does the same
?
this help
esc
close this, then clear every filter — or just the search, while you are typing in it

Ignored while you are typing. Pages without a filter rail have no search to focus.