Recommendation Systems

Of late, I have started reading quite a bit on Recommendation Systems and I came accross this interesting paper on the topic. The cool thing is that it talks about virtual co.mmunities based on recommendation systems (I am sure Amazon uses a similar algorithm, since this seems pretty common sense).

On a side note, the paper did lead me to finding out what a Pearson’s Correlation is. Pretty neat. Further links on this entry as I come across ’em

Links:
Content-Boosted Collaborative Filtering
Bunch o’ papers

Author: Arpit Mathur

Arpit Mathur is a Principal Engineer at Comcast Labs where he is currently working on a variety of topics including Machine Learning, Affective Computing, and Blockchain applications. Arpit has also worked extensively on Android and iOS applications, Virtual Reality apps as well as with web technologies like JavaScript, HTML and Ruby on Rails. He also spent a couple of years in the User Experience team as a Creative Technologist.

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