Interactive Interface Design Of Knowledge Recommendation Platforms From The Perspective Of User Experience

The knowledge recommendation platform serves as a bridge for knowledge exchange,helping users discover and access high-quality resources in related fields.With the development of Internet technology,optimizing the knowledge recommendation platform from a user experience perspective and using modern design concepts are important for improving the efficiency of knowledge exchange,promoting knowledge innovation,and sharing,and advancing academic communication and knowledge dissemination.Research on knowledge recommendation has been ongoing,but there has been little research on the interaction design of knowledge recommendation platforms.Many excellent interaction design cases have emerged in the market,and it is necessary to analyze their design concepts,combine them with the characteristics of knowledge recommendation platforms,and provide new design ideas for knowledge recommendation platforms while also promoting related research.In this paper,the research status of knowledge recommendation platforms,user experience,and user research theory are conceptually explained and analyzed.Starting from a user experience perspective,this paper studies the knowledge recommendation platform and provides a theoretical basis for the prototype design of the platform.Next,this paper investigates the website function design,interaction design,website features,and user experience of mainstream knowledge recommendation platforms at home and abroad to provide references for the design and development of knowledge recommendation platforms.Based on this,the author conducted user research on the knowledge recommendation platform,collecting user feedback through questionnaire surveys and interviews.The author analyzed the collected user information,grasped user behavior and motivation,established user portraits,extracted user needs,and provided guidance for the development of platform design methods and principles.After determining the website structure,website layout,and art style,the author used Axure and Adobe XD to complete the prototype design and recruited users for the first round of testing to discover existing problems and deficiencies and provide guidance for platform optimization.The optimized platform underwent a second round of testing to evaluate its visual effects,interactive experiences,and basic functions.The test data analysis shows that the knowledge recommendation platform has a friendly interface,complete functions,reasonable content arrangement,comfortable layout,and good user experience.