Hello! Welcome to Guangdong Moumou Building Materials Technology Co., Ltd.
Hello! Welcome to Guangdong Moumou Building Materials Technology Co., Ltd.
Release time：2025-08-29page views（）
Since the commercialization of the Internet, whether it is the news client side, video websites or e-commerce platforms, all platforms have defaulted to being 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 and jumps out of the mass communication/focus communication rut. Is it enough to revolutionize the life of all search engines and portals? But there are also many voices of doubt. For example, there are opinions that recommendations such as collaborative filtering can easily lead to the formation of information cocoons, inability to recognize reading scenes, poor immediacy, and long time, and Jinri Toutiao is often criticized. It also has to deal with challenges such as difficult-to-capture user interests, privacy, and management of user data.
