Portfolio Recommendation Research Based On User's Risk Preference

With the progress of information technology and the development of Internet finance,many financial platforms have launched online investment services,enabling investors to invest through the Internet.This new investment mode expands the business volume of financial institutions and facilitates investors' investment behaviors,so that more and more potential investors can participate in the investment activities.For investors,the portfolio investment can effectively spread risk and achieve earnings.However,most of the individual investors cannot choose the suitable products in numerous investment products,and for small individual investors,hire professional investment analyst at relatively high cost.Therefore,individual investors' decision problems is an important problem to be solved.In order to solve the investment products selection problem of individual investors,this study pus forward and implements the portfolio recommendation system based on user preferences,provide portfolio recommendation for users of this recommendation system.Firstly,measure user's risk preference based on the their basic information.Secondly,measure the risk level of investment products;Finally,the risk level of products are matched with the user's risk preference,and the portfolio is recommended to the target users.Through systematic development and case analysis,this study verified the availability and effectiveness of the portfolio recommendation system by implementing reasonable investment recommendations for users with different risk preferences.