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Visitors do not accidentally break into your site, especially registered users, he usually with a strong sense of purpose. Most of the time, when they decide to sign up, it means that he has initially approved your site. Next, how do you serve him from the start and make him feel like a shrewd selector! Tell there are two kinds, one is the level of expression, such as: welcome you to register XX community, as the XXXX member, next you will find in here with you have the common interest and hobby of people, and they explore and grow. The other is through the roundabout way, but it is more conducive to the user's attraction and atmosphere of the building. From the successful experience abroad, especially recently popular Twitter, we will find that when you register successfully, the system will recommend to you many people, these people may you are familiar with, may not be familiar with, in short, as a newly entered the system, you will more or less feel that some people care about you. This is just like when you go to a restaurant to eat, when you enter the door, the service staff very warmly greet you to send you water and attentive to ask you something? You will soon make up your mind to spend. Conversely, although you are here to spend, but no one to ignore you, it is very annoying things, perhaps you have a little rest there to leave without a break. So, the initial atmosphere is quite important.
In fact, Douban has done this long ago, when you register, he will recommend some excellent books and music movies to you, first let you have things to see, and not like a fool after registering do not know what to do. In fact, many users after the registration is vacant, at this time, the site to do is the user's guidance, but also in the creation of an atmosphere: this atmosphere is the site want users to do, in other words, the user site to promote.
Having understood the above, let's assume that on a question and answer platform, we recommend that the system recommend some questions to the user after they have been registered and entered the system, including: hot, being answered, and most recently resolved. Then the data in the background to detect the user's reflection. To determine the recommended number and recommended type. In the absence of certain observational data, we usually think that hot issues are universal, but what if not what we think? So it's important to master the real data.
In short, no matter what kind of site, always in the user registration and landing, for users to recommend some interesting, want to let users do things to users, so that users have something to do. Depending on the type of site, the nature of the recommendation to the user will be different. Like we said above, social Twitter, it will recommend to you a number of well-known people, in a question and answer platform, we will recommend a number of hot questions to allow users to answer; On a shopping platform, we will recommend some products that are being promoted and products that are selling to him, Let him know what we've been up to. What do they have? As a result, the user is attracted to the platform, through the atmosphere to guide users, let him further deepen the understanding of the site where.
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