UR8IT* – The Inevitable Future Of Entertainment

Predicting YOUR Opinion Of New Movies, TV And More … Instead Of Just Showing You The Critics’ Average.

*(possible names: YourScore, R8IT, or …?)

Miscellanea and info for Developers/Programmers
Simplified Guide For Programmers To Create v0.1
See project listing on UpWork
Contact Scott Covert – 705 749 2225 – scott@rtopartners.ca

Most Of This Page Has Been Removed Full Information Is Now Only Accessible Through A Non-Disclosure Agreement

The idea has now grown vastly in scale.To be involved, contact me.

The Average Opinion Of 100 Critics Or 1000 Users Is DIFFERENT From YOUR Opinion

Be WARNED … When Your Favorite Actor Or Director Makes Something YOU Will Hate

Stop Wasting Time And Money On Movies, TV And Books That Disappoint You

Join The UR8IT Discussion On Facebook
Give me (Scott) a call at 705 749 2225

If You Believe (As We Do, 100%) That This System Is INEVITABLE, The Only Question Is How (Or Whether) You Will Be Involved

Is this just “Collaborative Filtering”? No. The UR8IT approach is based on users’ relationships to how specific movie factors correlate to their actual and predicted scores … not on users’ similarity to one another.

Of Course The System Won’t Be Perfect. But It Will Be Flexible And Self-Improving.

You Deserve To Know In Advance What YOU Will Think Of New Entertainment

Your Individual Personality Determines What You Like Or Don’t Like

Most Of This Page Has Been Removed Full Information Is Now Only Accessible Through A Non-Disclosure Agreement

I do not have enough money, time, programming and math skill or management skill to bring this system into existence. I am therefore currently seeking:

– partners
– ideas
– patent expertise
capital
– programmers
– mathematicians
– early adopters

Let’s Turn Enjoyment Into Something You Can COUNT ON

We’ll Use Math To Figure Out When AND WHY You Strongly Disagree With Your Peers

Find Good Entertainment From The Past And Future – And Forget The Rest

Where Did I Get This Idea?

(And Other Miscellaneous Notes)

This idea originally came to me years ago when I thought how great it would be if Rotten Tomatoes gave me a customized score instead of just an average, by letting me personally score a few hundred movies and then finding out which critics I most agree with. They seem to have tried to build this several years ago, but according to my attempts and the comments I’ve seen, this feature is broken or dead, or they’ve lost interest. Anyway, the UR8IT system goes many levels beyond my original concept. I still wish Rotten Tomatoes would fix this, though.

My approach to an overall multi-dimensional, multi-node, multi-media system would, I believe, be better able than jinni.com or Netflix semantic scoring at offering accurate predictions and recommendations.

For example, the system could determine that your scores are always 80% or higher for sci-fi movies after 1994 without Bruce Willis and not involving extraterrestrials, no tongue-in-cheek comedy and at least 7 on the seriousness scale. These kind of background correlations are “messy”, voluminous, and not something the average user should have to think about.

One possible complication to the system, which could eventually be accommodated somehow, is that enjoyment does not exist on a simple continuum. There may be movies you “have to” see even though they’re not that good, because of a certain actor or director. There are different “ways” you can enjoy or dislike something.

See below for some thoughts on how a critic-matching system would further strengthen the system, or possibly provide the user with a separate “Critics’ Match” list of recommendations. For example, a new drama movie is coming out, and the system gives you a score based on the average reviews of critics whose opinions on dramas correlate highly with your opinions. Time will tell, but I believe “Critic Matching” could become central to the entire system.

People are almost never, in their masses, looking to do a lot of work to get a system to help them out with anything (except for rabid early adopters). They want it easy as heck (and fun, and immediately rewarding), or they don’t want it at all. Passing the tipping point of usability and reward means the difference between topping out at 10,000 users on a web site and having 100,000,000 users across multiple major entertainment providers.

People are not going to want to answer all these questions on IMDB then start all over again with a different set of questions on Hulu, Tivo, Netflix and Rotten Tomatoes. Without a centralized system there won’t be mass participation. There can only be one dominant company in this space when the dust settles.