Now that television programming extends to various services beyond traditional network television, it can be difficult to know what to watch next and what is popular, given the great choice of content. An app called TV Time helps with this, allowing fans to watch the shows they're watching, discover new programs and socialize with other fans after each episode. Now, the company is redoubling its ability to help you find your next show with the launch of personalized recommendations.
Your recommendations are based on understanding through the application of dozens of signals, including things like the shows you watched, the ones you saw, the ones your friends watched, the ones you attended and the ones you liked.
You can further filter your recommendations by network, status (completed, forthcoming, etc.), genre, service to which the show is available, and other factors.
(Above: TV Time identifies me as a sci-fi nerd who has not yet watched Stargate, I know, I know!)
What makes the TV Time recommendations unique is that they are based on your viewing behavior on the entire TV, not just on a single service like Netflix.
"There is an incredible amount of quality TV being made today – some budgets are crazy – and because all these different platforms do it, it becomes more confusing for the consumer to know where to look, to remember where, "said Dan Brian, COO of TV Time." It's hard to shake everything up. "
Similarly, determining what to watch next is also difficult because there are so many ways to track the content you like, but none of this data is currently available on all platforms . That is, Netflix does not know what you like on Amazon or HBO, and so on.
"We took the 8 billion TV episodes that had been tracked in the application – episodes from all existing platforms," Brian explains. "And because we have this 360-degree vision of what people are watching, we should be able to make the best recommendations on what to watch next."
In practice, the recommendation algorithm supported a little too much on the choices of the big catalog of the TV, I found in the tests, and I did not take also strongly account for the favorite shows I would like. But the promise of machine learning is that its recommendations will improve over time, plus it will serve to find and track new shows.
TV Time began life as WhipClip, a source for a legal collection of GIFs of favorite shows, before becoming a social TV community following the acquisition of TVShow Time in December 2016.
This is a start-up in the past who tried to enter, such as GetGlue (acquired by i.TV half a decade ago) or Miso, pioneer of Social TV, which closed in 2014. It can be said that these companies arrived too early. before the trend of cutting the ropes gives way to dozens of streaming services and à la carte options to create your own TV package.
While in the past, all of America apparently watched the most popular TV shows at the same time, finding someone today who loves a show you are watching is less common. And to watch them look at the same time as you are even rarer, thanks to the end of "rendezvous on TV" for almost everything, except for a few big hits like "Game of Thrones".
This makes an app like TV Time a place where you can really find "your people" – whether it's sci-fi friends, or reality TV addicts, or whatever it is. # 39; other.
Beyond his new recommendations, you can use the app to track favorite shows, find out when shows are coming back, or find out what's popular in the community and more.
In your profile, you can set shows as favorites, track your personal TV viewing data, and see how your posts are broadcast in TV Time communities. You can also follow friends to see what shows are being watched by people you know.
After marking an episode as "watched," you can then jump into the community to see the reactions, which are shared as GIFs, photos, videos, memes, and more. The application makes building memes easy, thanks to an included set of screenshots that can be mixed with other content, and then shared with the community.
You can also record a video reaction – something that is a popular activity on YouTube and available in a shorter format on TV Time.
Community involvement is also surprising.
A show can have a hundred reactions posted by fans, many with hundreds of likes. And an animated show like "The Walking Dead" can have hundreds of video reactions alone after a new episode.
The company says that there are now more than one million people who use the application daily, where they can follow one of the more than 60,000 broadcasts and more than 8 billion television episodes. Users register with Time TV about 45 million times a month, and engage more than half a million times by posting comments, photos, GIFs, videos and more. again.
As TV Time improves these recommendations in the coming weeks, it will also begin to display your "TV Time score" – how well your interests match a given content – in all pages of the TV. 39; application.
With its new ability to make custom show suggestions, TV Time hopes to attract more casual television fans, and ultimately aims to sell its data on what people are watching to help producers and TV networks fund then. like providing competitive ideas, among others.
"But we will never sell individual profiles of people," says Brian. "We work with partners on aggregated, anonymized data on trends," he says.
Today, TV Time generates revenue through a premium level, which has tens of thousands of paid users. But this will probably be discontinued as its data activity expands.
TV Time is a free download on iOS and Android.