Micro-blog Content Recommendation Algorithm Considering User Privacy Protection

With the rapid development of Web 2.0 technology,micro-blog,as a new type of social media,gradually changes the way people communicate and obtain information.However,with the explosive growth of micro-blog users,the amount of micro-blog data has also increased dramatically,and people are faced with increasingly serious problem of information overload.At the same time,due to the integration,openness,rapid dissemination and wide coverage,the rapid development of micro-blog also brought privacy leakage concerns.The emergence of recommendation algorithm helps users to obtain useful information,effectively reduce the problem of information overload,while the detection of micro-blog privacy can reduce the risk of privacy disclosure.This paper makes an in-depth study of the existing micro-blog recommendation algorithm.By studying the theoretical knowledge of the recommendation algorithm,combining with the characteristics of micro-blog users as well as the characteristics of the content of the privacy micro-blog.This paper proposes a content recommendation algorithm for micro-blog,which considers user privacy protection.Under the condition of reducing the privacy leakage of the original bloggers,we recommend the content of blog posts which can satisfy the interests of the target users.Firstly,we define the concept of micro-blog recommendation algorithm and privacy detection method.Secondly,we put forward a new algorithm based on tag collaborative filtering,and then based on Naive Bayes,the method of privacy detection of micro-blog based on polynomial model is proposed.Finally,combined with the two to get the consideration of user privacy considerations micro-blog content recommendation algorithm.In the last part of the paper,we design and implement micro-blog user relationship measurement method based on tag location,comparing it with different computing methods,and then implement a collaborative filtering algorithm for recommending the content of micro-blog content after the studies on micro-blog content detection of privacy in the experiment.Finally,it is concluded that therecommended algorithm proposed in this paper is effective and can play a certain role in reducing privacy disclosure.