Appreciating The Personal Nature of Taste

-  Josh Sapienza | Hawser LLC.

Applying Data To Taste

- Marc Randolph | Netflix

Top Notch Bucketlisting

- Josh Sapienza | Course

Making People Happy

Course: Your Personal Restaurant Guide

" while my own personal recommendations may have served as sort of an 'organic proof of concept' - the method wasn't scalable. That's why we built an app to do this automatically."
- Josh Sapienza

Having worked in restaurants for over three decades, I'm often asked to recommend "another great bar" or asked "What’s your favorite restaurant in... any number of cities or "Where would be a good place to take my husband/wife for our anniversary", etc...

But I've always said that asking me to recommend a great meal or "The Best restaurant" in a particular city, is a lot like telling me you’re going out for ice cream and asking me to choose the best flavor. What if I love Pistacchio and you're more of a Mint Chocolate Chip girl?

In other words, "The Best" is subjective.

So, in the interest of wanting everyone to enjoy themselves as much as possible, I've always tried to learn as much as I can about a person's likes and dislikes before making a recommendation.

I ask questions like:

Where have you eaten before that you really liked and what did you like most about it?

Where have you been that you'd never go back... and what made it so disappointing?”

What are some of your other favorite places... and why?”

Do you have any food allergies, dietary restrictions or have any foods that you simply don’t like or wouldn’t even consider trying?”

What do you consider 'good service'?"


The list goes on and on... and, while it may sound tedious, the more information I gather about someone - the more reliable (and appreciated) my recommendations tend to be.

So, while my own personal recommendations may have served as a sort of an "organic proof of concept" - the method wasn't scalable.

So we built an app that does all this automatically with predictive analytics...which is really just a fancy way of saying  Course built a unique computer program that automates the "getting to someone part"  that's so vital to making solid recommendations,  and then uses that information to calculate each person’s compatibility with the restaurants and bars around them.

In short, we've built an alternative recommendation engine for people whose tastes might not mirror that of the mainstream.

Course Restaurant Guide also offers the world's most advanced restaurant & bar bucket list maker to help you organize and share your lists of the places you don't want to forget about.

It's ironic -  we found that the best way of removing individual bias from restaurant ratings & recommendations was to create a platform that essentially celebrates each person's unique bias and diversity.

- Josh Sapienza |

Dig in !

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