Research on Improving the Novelty of Short Videos Recommendation Methods to Prevent User Psychological Resistance
In order to increase user stickiness,short video platforms apply various recommendation methods to push content of"interest"to users.However,users gradually realize that the recommended content tends to be simplification,homogeneous,and lacking in novelty.The users finally find they are trapped in an information cocoon and develop psychological resistance.Taking a typical short video platform as an example,an investigation into recommendation methods and user experience is conducted to analyze the reasons behind users'psychological resistance and identify existing problems with the platform's recommendation methods.By introducing a random perturbation factor to improve the existing recommendation methods and collecting user data for verification and analysis,it is found that the improved methods can effectively enhance the novelty of the recommendation system,reduce users'psychological resistance,and optimize user experience.
e-commercerecommendation methodpsychological resistancenoveltyshort video recommendation
NETL
NSTL
万方数据
