Relationship Between Software and Hardware Attributes of Intelligent Terminal and Micro Implicit Interaction Behavior

User browsing behavior is an important implicit feedback data reflecting users' interests and preferences in the field of recommendation system. How to make full use of user browsing behavior data and combined with other context information to improve recommendation efficiency has become a research hotspot. Firstly, the user browsing behavior and the software and hardware attribute data of intelligent terminal are cleaned and clustered. On this basis, the implicit feedback behavior of micro network is analyzed. Then, the influence of the software and hardware attribute context of intelligent terminal on the implicit feedback behavior of user micro network is studied by using binary and multiple regression analysis. The results show that the type of app store and browser used are very important factors. In addition, the type of operating system and screen resolution also affect the implicit feedback behavior of micro network to a certain extent.