Recommendation engine drives 75% of Netflix traffic

 

Here is an interesting article about recommendation engine developed by Netflix to attract and suggest movies to its users based on their likes/dislikes and social habits.Its an interesting strategy and does make sense in business context.

The key thing to note here as a tester is that its data which Netflix collects that drives the functionality of the application based on user’s like/dislike.Most testers including myself at times have often ignored the importance of the right set of data that mimics the real user due to various reasons.I feel we need to make corrections to the way to we see and interpret data for our testing purpose.