Microblog recommendation method and device based on data mining technology

Abstract

The invention discloses a microblog recommendation method and device based on the data mining technology. The method includes the steps that microblogs are classified according to content; the click rate of selected users to each class of microblogs in a preset period of time is obtained, and according to the click rate of each class of microblogs, a microblog interest model of the users in the time period is obtained through calculation; the users are clustered according to the final microblog interest model, and microblog candidate sets recommended to all classes of the clustered users are determined according to the final microblog interest model; the microblogs in the microblog candidate sets are recommended to the users. In this way, the microblogs can be classified and sequenced in complex microblog information, the users are clustered, and corresponding microblogs which user groups with different features are interested in are recommended according to analysis results. The method and device can be used for accurately recommending hot microblogs which the users are interested in to the users by microblog websites in time.

Description

technical field [0001] The invention relates to the fields of computer science and network technology, in particular to a data mining technology of a microblog recommendation method. Background technique [0002] Microblog websites publish microblogs with a large amount of data every day, especially large-scale websites with user visits of up to 100 million levels, and the information update speed is very fast, which also has high requirements for the timeliness of microblogs. In response to this situation, the first choice of the website is to implement Weibo recommendation, quickly and effectively find the Weibo that users are interested in, and obtain the information that users want to know. [0003] In the prior art, recommendation methods are mainly divided into three types: the first one is based on content filtering, and the recommendation system based on content filtering realizes the recommendation function by comparing the similarity between items (commodities) ins...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a microblog recommendation method and device based on data mining technology, which overcomes the problem in the prior art that a large amount of microblog information on the microblog cannot be effectively and reasonably recommended to relevant users, so as to realize Can use data mining technology to match relevant categories of Weibo and users, and give users effective recommendations based on relevance

Images