Push method and system based on user feedback information
A technology of feedback information and recommendation system, applied in the field of communication network, can solve the problems such as failure of audience response to collect feedback in time, user harassment, delivery accident, etc., to improve the efficiency of push and the success rate of marketing, solve the problem of data adaptation, improve The effect of accuracy
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Embodiment 1
[0020] This embodiment provides a push method based on user feedback information, such as figure 1 As shown, the method includes:
[0021] Step 101, collect user feedback information at the user terminal.
[0022] The user terminal in this embodiment is a mobile phone user terminal or a computer user terminal. Feedback information includes explicit feedback information and implicit feedback information. Explicit feedback information includes users' direct comments, ratings, and interest level descriptions on recommended content. For example, elements such as buttons and boxes can be added to the UI interface. Click the button or enter text in the box to evaluate the recommended content, or choose the degree of preference.
[0023] Implicit feedback information includes the address of the page directly requested by the user and the address of the recommended content page requested by the user obtained by monitoring and recording the user's operation behavior. The address of ...
Embodiment 2
[0037]This embodiment provides a push system based on user feedback information, such as image 3 As shown in the dotted line box, it includes: a user feedback information collection module 1 and a gateway 2, the user feedback information collection module 1 is set at the user terminal, and the user terminal realizes communication with the server through the gateway 2, wherein,
[0038] The user feedback information collection module 1 is used to collect user feedback information at the user terminal, the feedback information includes explicit feedback information and implicit feedback information, and the explicit feedback information includes the user's direct evaluation of the recommended content, Scoring and interest degree description, the implicit feedback information includes the address of the page directly requested by the user and the address of the recommended content page requested by the user obtained by monitoring and recording the user's operation behavior;
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