Intelligent Push Of Financial Information Based On Investor Preferences

In recent years,a large amount of financial information is generated on the Internet every day.With the vigorous development of big data and artificial intelligence technology,new business models are emerging in the new media industry of Finance and economics,and the product form is constantly innovating.Individualized financial service terminals in mobile terminals and new faces of various financial and economic self-Media are emerging constantly.More investors are accustomed to using mobile phones to obtain financial and economic information services.Although traditional financial and economic information media have a huge user base,they are facing such fierce market competition.We must learn from the development experience of new financial and economic information platforms and use advanced artificial intelligence technology.Only by realizing the service reengineering of financial media platform,accurately classifying the audience investors and creating valuable content interaction,can we break through the traffic of traditional financial portals.In order to improve the stickiness of users of traditional financial information service websites and improve the efficiency of investors' information reading,so as to attract traffic and solve the realistic problem of reducing the flow of investors faced by traditional information platforms.From the perspective of financial information platform and investors' personal preferences,this paper firstly uses advanced LDA topic mining model to efficiently mine a large amount of financial information,and describes and analyses the interest topics of each type of investors.Then,through questionnaire survey,we get the data of investors' financial information reading preferences.Finally,we use Apriori algorithm of correlation analysis model to mine the financial information topics of investors' potential preferences,find out investors' preferences,and then carry out accurate financial information intelligent push to investors,and construct an intelligent pushscheme of financial information based on investors' preferences.