A Process Evaluation Method for Crossover Service Recommendation

With the rapid development of the digital economy and the new generation of information technology, digital services often need to cross the boundaries of different industries, organizations, and regions. Choosing an appropriate recommendation method for crossover service providers has become challenging. Generally, the performance of the recommendation revealed by the evaluation indicators is used to reflect the pros and cons of the recommendation method. Compared with the traditional evaluation based on results, this paper proposes a procedural evaluation model. It comprehensively considers the laws of economic activities. From three different stages of crossover cooperation: input, execution and output, three process evaluation indicators of entropy, cost and profit are proposed respectively, and dynamic analysis of crossover service recommendation is carried out. Take the commonly used collaborative filtering recommendation method as an example; the experimental results show that the process evaluation model proposed in this paper can select the recommendation method. The method conforms to the law of market changes according to the different states of crossover cooperation of service providers.