Published 2021-04-01
“…Douban used social behavior analysis to solve recommendation problems,such as collaborative filtering technology based on the sameusers′behavior ,and friends or neighbors recommendation,etc.,which is also a supplement of personalized recommendation.The introduction of social recommendation can solve the problem of narrow recommendation range caused by simple product content recommendation.The personalized recommendation algorithm of Toutiao was based on voting,and its core idea was to vote.Each user can cast his only vote to the article he likes.After statistics,the final result was likely to be the best article in this crowd,and the article would be recommended to the same group of users.This method seems to be very simple,but in fact,it needs massive user behavior data mining and analysis.System dynamics is an interdisciplinary subject based on
system theory,cybernetics and information theory,and with the help of computer simulation technology.From the perspective of system,structured and dynamic analysis and model simulation are conducted,which is good at analyzing high-order,nonlinear and time-varying complex systems,and is suitable for analyzing the dynamic and complex process of personalized information recommendation by combining qualitative and quantitative analysis..Based on the theory of system dynamics,this paper modeled and simulated the important factors that affect the effect of information recommendation in Vensim software,and constructed the causal feedback model and stock flow model including the number of users,articles,tags and the influence among subsystems.The system dynamics equation model was established,and the sensitivity analysis of related factors was carried out.The results show that the number of articles,the characteristic tags and the interest factors of articles all have an important impact on the recommendation effect.They are the key factors to be considered in the design of the recommendation system,and are also the important ways to solve the key problems,such as the cold start,real-time and "information cocoon room" of the recommendation system.Research on information personalized recommendation based on system dynamics can actively and effectively meet the challenges of information disclosure in the judicial field and improve the accurate recommendation effect.…”
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