An Online Marketing Method for Small and Medium-Sized Enterprises Based on Big Data Technology.

Marketing methods often have high costs and limited effectiveness, making it difficult to stand out in fierce market competition. A bidirectional personalized recommendation algorithm based on customer preferences is proposed to help small and medium-sized enterprises more accurately locate their target customers. Based on other customers' and neighbors' purchases, the customer's purchase information is first expanded. Calculate a customer's product preference weight, assess a customer's purchasing preferences, and provide personalized product recommendations based on a customer's preferences. Design the methodology. Finally, mining customers similar to the sample customers to form a community, providing merchants with recommendations for potential customers and precise customer maintenance based on the sample customers provided by the merchants. The algorithm's efficacy can be proven by conducting experiments on real datasets, which can be used in personalized recommendation research. [ABSTRACT FROM AUTHOR]