E-commerce user behavior data simulation based on multi-dimensional user profile

The difficulty of obtaining experimental data has always plagued big data workers. However, the data in public data often has several shortcomings: privacy and security issues, sparse and small data sets, and lack of key information. In order to overcome these shortcomings, we have developed an e- commerce user behavior data simulation system based on multi- dimensional user profiles for the popular e-commerce field, which can quickly simulate and generate a large amount of e- commerce user behavior data. It brings convenience for big data workers to obtain experimental data, and the use of this data will not encounter the various problems mentioned above.