With the popularization of mobile Internet, people increasingly rely on mobile APPs to complete various services, and the search functions involved in APPs are also receiving more and more attention. In order to improve users' search experience, many APPs will recommend relevant content to users based on their search history when implementing search functions. Next, this article will introduce how to implement the function of recommending content based on different user search histories in uniapp.
1. Introduction to uniapp
Uniapp is a cross-platform application framework developed based on Vue.js launched by DCloud. It can build multiple platform applications such as iOS, Android, H5 and small programs at the same time. . The uniapp development framework integrates a powerful IDE and compiler, enabling rapid project development, packaging and release. uniapp helps developers quickly build efficient and high-quality mobile applications by providing a complete set of development tools and APIs.
2. uniapp implements the idea of recommending content based on user search history
In order to recommend relevant content based on the search history of different users, we need to first implement the user login and registration functions, and add the user Search records are saved to the server. When a user performs a search, the search content is sent to the server for matching, and relevant content is recommended based on the user's search history.
The following are the specific steps of the implementation process:
In uniapp, we can use uni.request( ) function sends a request to the server to implement user login and registration. The specific process is as follows:
(1) User login:
The user enters the account number and password, clicks the login button, and sends the account number and password to the server for verification. After the verification is passed, a paragraph identifying the user is returned. The user's string, used for verification on subsequent requests.
(2) User registration:
The user enters the account number and password, clicks the registration button, and sends the account number and password to the server for verification. If the account has not been registered, the account number and password will be sent to the server for verification. The password is saved to the server-side database and returned as a string for subsequent requests.
When users search in the APP, we need to save their search records to the server-side database. The specific process is as follows:
(1) Obtain the search content entered by the user;
(2) Send the search content to the server for storage.
When the user enters the search content, we need to recommend relevant content based on their search history. The specific process is as follows:
(1) On the client side, the search content entered by the user is sent to the server side;
(2) On the server side, the search content entered by the user is compared with the user's search content in the database. Match the search history and recommend relevant content based on the matching results;
(3) Return the recommended content to the client and display it to the user.
3. Summary
This article introduces how to implement the function of recommending related content based on different user search histories in uniapp. By implementing the three steps of user login and registration, saving search history and recommending content based on history, we can provide users with a more intelligent search experience, thereby improving the user experience.
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