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  1. DZone
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  4. Virality Prediction Using Artificial Intelligence

Virality Prediction Using Artificial Intelligence

“Everything has beauty, but not everyone sees it.”

Shashank Gupta user avatar by
Shashank Gupta
·
Jul. 01, 18 · Opinion
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“everything has beauty, but not everyone sees it.”

visual aesthetics is a widely opined subject. there has never been one answer to, "is this picture good?" until today. the persistent problem of quantifying the beauty of an image is now solved. artificial intelligence can now "see" beauty and suggest what will be called beautiful by others. it is now possible to know whether an image will become popular or not without having to go through the trouble of consulting multiple experts. the ai research group at paralleldots has been able to build the technology that will help users know, with a high degree of certainty, if what is in their image stock will make good noise if it goes on to become public.

the following are a number of entities that can benefit from this technology.

restaurant aggregators

a significant section of any smartphone’s space goes into apps designed specifically to make that scintillating voice — the sound of the delivery guy ringing the doorbell with sumptuous food in his hands and hopefully some discount coupons too.

in order to gain competitive advantage, a useful means that restaurants use to entice app users is putting up on their websites images of dishes that could make mouths water. artificial intelligence at paralleldots goes one step further and actually helps identify how likely an image is to become popular. restaurants can use the virality detection api to selectively identify the images that have a high popularity score and put these up on the website. this not only eliminates the subjective bias of photographers, it also makes the matter of creating an online aura effortless. all that is needed is a collection of authentic pictures, and ai does the rest.

public relations

the quest for fame is an ever-moving and widely coveted target, which pr agencies promise to deliver for clients. anyone who would want to be featured on the front page of a magazine, have their film’s poster flashed on the screens of times square, or have a publishing house cover their story knows the importance of a good picture. the problem is that too many people have too many opinions on what a good photo looks like.

is there an easier way to become famous with a good picture? yes. use artificial intelligence.

using the virality detection api, it is possible to know how likely an image is to go viral. public figures can use this simple technology to find out which of their pictures will become popular without being bogged down by the subjectivity of biases, shortcuts, and cognitive illusions.

rental platforms

using aggregators for letting out hostels, serviced apartments, homestays, flats, rooms, et al. is probably the easiest approach for reaching an immense base of customers. the decision for picking a particular property to stay in rests entirely on the pictures provided by the owners. as this area becomes competitive, every property owner will need to know how to get the best pictures out there and draw in more tenants. the virality detection api is one of the best recipes for a property’s becoming trendy. it uses artificial intelligence to suggest how likely an image is to go viral. all you need to do is upload an image and look at its popularity score to decide whether or not it should be put up online for the world to see.

stock photo aggregators

social media has transformed into an inventory of photographs meant to digitally document lives and events. at the same time, it is desirable to have a collection of popularly likeable pictures. the tendency to use biases in preferring certain pictures over others is as inevitable as it is futile. instead, making use of ai can make this task quick and smooth. using the virality detection technology, one can know the probability of their photograph to go viral. since the advanced science applied here is ai based, it is reliable and highly accurate. stock photo aggregators can use this technology to decide which images should go up on the website in order to maximise visibility and ensure public approval without going through the trouble of manual selection. at the same time, they can use the image recognition api to sift through millions of images to identify those objects that are trending in most pictures and build a deep understanding of demand.

as ai knocks on our doors, bringing the gift of imminent simplicity as well as advancement, it is time to fathom what this technology can do for businesses at large. who would have thought that going viral is a superpower that anyone could possess? we literally cannot say what tomorrow might bring, and we literally do not know how big it will be.

you can read here about how to judge a photo quality using ai techniques.

AI

Published at DZone with permission of Shashank Gupta, DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.

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