Research On The Key Technologies Of Micro-blog Advertising Recommendation

In the rich and colorful network world,micro-blog influence the social platform and a growing user groups,especially sina micro-blog,its commercial value also gradually been found,the advertisers have to focus on micro-blog,hope that through this platform in user browse micro-blog interested in advertising to recommend at the same time,in order to obtain more benefits.Micro-blog marketing better individual is also growing,but in terms of enterprises,always want to gain a foothold in this battle is not easy,because of people's life is colorful,changing ideas,the short-term profits do not represent the perpetual success.In recent years,the researchers have mostly used social networking structures to study the spread of information on micro-blog users to research micro-blog in an indirect way.Because users' social structures can guide companies to advertise and promote marketing.But there are few examples of how technology can improve microblogs.Most studies are focused on weibo friend recommended and may be of interest to micro-blog content recommendations,and in the microblogging marketing level,the advertising recommended is almost blank.The aim of this article is to improve the marketing ability of micro-blog based on personalised recommendation theory,which is recommended as a starting point for online advertising.In order to accurate promotion weibo advertising,this paper analysis the user's interests,in personalized recommendation,to establish a good relationship with the brand users,enhance brand awareness,at the same time to achieve the purpose of a marketing for a long time.For the above analysis,this paper to improve the previous algorithm result,first of all,to a single user blog content as a starting point,has the choice of original micro-blog and interactive micro-blog(review,forwarding,thumb up)screening,forming a maximum level represents the user's current and long-term interest of micro-blog,previous research on weibo more focused on social structure,this paper focuses on the analysis of the user's own weibo trajectory,will get the micro-blog set before clustering,choose the most can represent the set of user interest keywords,and to recommend advertising,according to the recommended weight size,the last part to verify,through the experiment to evaluate the result of the recommendations and observations.The experiment shows that the proposed algorithm and the process can obtain better advertising marketing results.