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Telephone：+86 191 0209 5247 Email：baichengliu369@gmail.com
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Since the commercialization of the Internet, whether it is the news client side, video website or e-commerce platform; all platforms default to themselves as an excellent breeder, which pushes (feeds) content to users according to their own ideas.
These breeders are trained professionals, as the jargon goes - website editors set the agenda for users, selecting content according to the tastes of most users.
Later, the editor was too busy to use the machine to help - the simplest machine method is trending recommendations, such as sorting by clicks or other data.
The biggest problem with the breeder model is not knowing the appetite of the diners, which can lead to two significant consequences: first, the diners are not satisfied, and the personalized needs of users cannot be met; second, the waste of their own resources, a large number of long-tail resources are not exposed for a long time, increasing the sunk cost.
Some people have discovered the benefits of machines. Machines can recommend content based on user characteristics. Just as a skilled cook can provide meals according to the taste of each diner, if the machine is smart enough, it can solve the personalized needs of all users to a certain extent. Isn't this the C2M of the content industry?
To be precise, this is the C2M of information delivery, which communicates with a single user as the target, jumping out of the mass communication/focus communication rut, is it enough to revolutionize the life of all search engines and portals?
This intelligent content C2M has a profound background of the times. Today, you have stood on the edge of the era, watching AI technology ignite the lead of IOT, and then you will find yourself irresistibly entering the next era of information nuclear explosion: information end point explosion, information scale explosion, information platform explosion.
On the information superhighway, the cars you drive and the roads you travel have all changed the rules, and the knowledge framework based on the breeder model that you are familiar with is facing subversion.
In this era, the breeder model has failed, and smart machines will become the greatest variable.
The first scenario that emerges is where humans produce content and machines distribute it.
The next scenario that emerges is where machines produce content and machines distribute it.
The content industry is facing a C2M revolution, is that okay?