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SOCIAL PLATFORM-BASED DATA MINING METHOD AND DEVICE
SOCIAL PLATFORM-BASED DATA MINING METHOD AND DEVICE
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机译:基于社交平台的数据挖掘方法和装置
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摘要
Provided is a method and device for social platform-based data mining. The method includes: acquiring one or more interest label dictionaries of one or more registered users on an information client and one or more first objects having followed relationship with the one or more registered users on the information client in a social platform; according to the one or more first objects having the followed relationship with the one or more registered users, determining one or more first followed sets corresponding to the one or more registered users; according to the one or more interest label dictionaries of the one or more registered users and the one or more first followed sets, constructing an interest model; acquiring one or more second objects having followed relationship with one or more newly registered users on the information client in the social platform, and reading relationship information between the one or more newly registered users and the one or more second objects; according to the one or more second objects having the followed relationship with the one or more newly registered user, determining a second followed set corresponding to the one or more newly registered users; and matching the second followed set with the interest model to determine one or more recommended interest labels of the one or more newly registered users. The method and device solve the problem in the traditional art that targeted information cannot be provided because a newly registered user has no historical browsing record.
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