Data mining method and device based on social platform
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A social platform and a registered technology, applied in the computer field, can solve the problems that newly registered users have no browsing history and cannot provide targeted information
Active Publication Date: 2015-01-28
BEIJING BYTEDANCE NETWORK TECH CO LTD
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[0007] The main purpose of the present invention is to provide a data mining method and device based on a social platform to solve the problem in the prior art that targeted information cannot be provided because newly registered users have no historical browsing records
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Embodiment 1
[0022] An embodiment of the present invention provides a social platform-based data mining method.
[0023] figure 1 It is a flowchart of a social platform-based data mining method according to Embodiment 1 of the present invention. Such as figure 1 As shown, the method includes the following steps:
[0024] Step S11, obtaining the dictionary of interest tags of registered users on the news client.
[0025] In the above step S11 of the present application, the interest tag dictionary corresponding to each registered user is obtained by analyzing the collection of historical browsing behaviors of registered users.
[0026] Step S13, obtaining the first object in the social platform that has a following relationship with the registered user on the news client, and reading the relationship information between the registered user and the first object.
[0027] In the above step S13 of the present application, by reading the following relationship information of the registered ...
Embodiment 2
[0100] The embodiment of the present invention also provides a data mining device based on a social platform, such as Figure 4 As shown, the device includes: a first acquisition module 30 , a second acquisition module 32 , a first determination module 34 , a first processing module 36 , a third acquisition module 38 , a second determination module 40 and a second processing module 42 .
[0101] Wherein, the first obtaining module 30 is used to obtain the interest tag dictionary of registered users on the news client.
[0102] The first obtaining module 30 of the present application is configured to collect the historical browsing behaviors of registered users, analyze and obtain a dictionary of interest tags corresponding to each registered user.
[0103] The second obtaining module 32 is used to obtain the first object in the social platform that has a following relationship with the registered user on the news client, and read the relationship information between the regist...
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Abstract
The invention discloses a data mining method based on a social platform and a data mining device thereof. The method comprises the following steps of: acquiring an interest label dictionary of a registered user from an information client and a first object concerned with the registered user on the information client in the social platform; confirming a first concern set corresponding to the registered user according to the first object concerned with the registered user; creating an interest model according to the interest label dictionary of the registered user and the first concern set thereof; acquiring a second object concerned with the newly registered user in the social platform from the information client, and reading relation information between the newly registered user and the second object; matching a second concern set with the interest model according to the second object concerned with the newly registered user to confirm the recommended interest label of the newly registered user. The data mining method can solve the problem that the targeted information cannot be provided because the newly registered user no has browsing history in the existing technology.
Description
technical field [0001] The present invention relates to the field of computers, in particular to a social platform-based data mining method and device. Background technique [0002] At present, with the development of computer technology and the gradual popularization of the Internet, more and more people obtain various information through the Internet. Correspondingly, the amount of information on the Internet has also become more abundant with the development of computer technology and the popularization of the Internet. [0003] In recent years, with the rapid development of the mobile Internet, people have become accustomed to obtaining information content through information clients on mobile terminals. This method makes the time for users to obtain information through the network more fragmented. In this context, how to accurately provide users with valuable and interesting information becomes more important. In particular, providing new users with valuable and inte...
Claims
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