A Dataset for Product Interest Perception through User Shopping Behavior in Multiple Complex Scenarios

Based on the perceived user interest in the product, retailers can provide users with a more personalized shopping experience. For example, pushing product information that they may be interested in, thereby enhancing customer satisfaction and loyalty. However, in some complex environments, such as large supermarkets or shopping malls, non line of sight situations often occur due to complex building structures or stacking of goods, which may affect the accurate perception of user shopping behavior. To address this challenge, we have deployed sensors to effectively enhance our perception of user shopping behavior in NLOS scenarios.