Personalized information push system and method
A technology for information push and business information, which is applied in the fields of instruments, computing, and electronic digital data processing, etc. It can solve harassment, increase dissatisfaction with network service quality, and does not take into account the differences in static attributes and dynamic interest preferences of information audiences, etc. problem, achieve the effect of avoiding disturbance and having a wide range of applications
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Embodiment 1
[0040] FIG. 1 is a structural diagram of a personalized information push system according to Embodiment 1 of the present invention. As can be seen from Figure 1, the system includes: user information database 1, user information management module 2, website business information module 3, business topic feature dictionary 4, webpage topic extraction module 5, semantic correlation calculation module 6, business information push Module 7, of which:
[0041] The user information database 1 is used to save the static attributes of the user, which include the user's ip address and the registration information registered by the user when registering with the network service system, such as: gender, age, address, hobbies, etc.; Historical behavior preference information of users using the network, including: users' geographic preferences, language preferences, category preferences, product brand preferences, etc. when browsing forums and web pages;
[0042] The user information manag...
Embodiment 2
[0062] The personalized information push system can also reduce the service theme feature dictionary 4 in the system introduced in the first embodiment above, and its system structure diagram is shown in FIG. 3 .
[0063] Utilize this system to realize the pushing method of personalized information and comprise the following steps described in Fig. 4:
[0064] Step 201, when the user logs in to the network service system that has been visited, obtain the current user's static attributes and historical behavior preference information, and provide selection basis for the push of personalized information, wherein the personalized information may include: selection of business category, physical server choice, etc.;
[0065] Step 202, when the user browses webpage information, subject semantic analysis is performed on the content of the webpage information to obtain a number of subject words arranged according to weight in the current webpage content, and record the current behavi...
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