The Fifth Elephant 2014

A conference on big data and analytics



What would you recommend?

Submitted Apr 11, 2014

This workshop will provide the audience with a quick overview of recommendation systems & how to build one from scratch. We shall build user-user collaborative filter (CF) based recommendation engines as well as item-item CF recsys. The audience will get a flavour of the range of statistical & mathematical computations that go into a recsys.


Both beginners & mildly experienced folks would have a good set of skills to take away from this session. We will together de-mystify all that one imagines about recommendation systems.

We will cover what user-user CFs are as well as item-item CFs. We will then design and build an implementation (in R) of each & apply them to standard data sets. We will go into Mahout’s pre-defined algorithms & how to use them (on a single node Hadoop setup).

Speaker bio

Anand has been dabbling in systems software & application software development for the past 12 years. For the past few years his interest in data analytics has taken a lion’s share of his energy. While not in front of the computer, he writes, travels, shoots (pictures), cooks (a wandering chef) and does a lot more he doesn’t confess to.


{{ gettext('Login to leave a comment') }}

{{ gettext('Post a comment…') }}
{{ gettext('New comment') }}
{{ formTitle }}

{{ errorMsg }}

{{ gettext('No comments posted yet') }}

Hosted by

All about data science and machine learning