Empty berth recommendation system based on shopping mall big data

Abstract

The invention discloses an empty shop recommendation system based on shopping mall big data. The system comprises a store operation early warning module, an expert recommendation module, a cold startsolution module and a fusion recommendation module. The store operation early warning module uses store historical operation data which comprises store sales, rent, passenger flow and area to predictthe probability of renewal of a store with expired lease after half a year, and gives an early warning for the store with higher probability of not renewing the lease; the expert recommendation moduleis used for recommending by using historical replacement experience; the cold start solution module is used for recommending by using a bursting brand operation condition; and the fusion recommendation module is used for fusing recommendation based on historical replacement experience and recommendation based on popping brand operation conditions, so that the problems that a recommendation resultis too single and lacks new ideas are solved. An automatic system structure and an intelligent empty berth selection process of the system are beneficial to relieving or eliminating decision errors caused by cognitive deviations of shopping mall managers.

Description

technical field [0001] The invention relates to the field of shopping mall management systems, in particular to an empty store recommendation system based on big data of shopping malls. Background technique [0002] According to statistics, in large shopping malls, more than 10% of the stores will close down due to poor management every year, which may lead to temporary vacancy, thereby affecting the overall operating efficiency of the shopping mall. How to effectively reduce the vacant store rate while maintaining or increasing the rental income of the shopping mall, so that the operation of the shopping mall can enter a virtuous cycle of continuous optimization is one of the core problems that every shopping mall manager will encounter. [0003] In the operation and management of existing large shopping malls, there are still a large number of temporary decisions based on the subjective judgment of the mall managers, and most of these decisions are effective. However, it ...

AI Technical Summary

Problems solved by technology

However, it is inevitable that there will be deviations in the information obtained by the managers, or when the information itself has deviations, which will lead to mistakes in decision-making by the mall managers and have a negative impact on the operation and management of the mall.

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