The Impact of Big Data Recommendation Systems on Choice Overload in Online Shopping

This paper delves into the intricate relationship between big data recommendation systems and choice overload in the realm of online shopping. Through a systematic investigation, we aim to unravel the extent to which these systems, designed to enhance user experience, inadvertently contribute to the phenomenon of overwhelming decision-making. Our research encompasses a comprehensive analysis of user behavior, surveys, and data mining techniques, yielding valuable insights into the implications of personalized recommendations on consumer psychology and decision-making processes.