Research On The Construction And Supporting Algorithms Of Training Platform For Business Practice Courses

Nowadays,the cultivation of application-oriented practical talents has become an inevitable trend in the development of higher education at home and abroad.Based on the concept of big data analysis and information platform construction,this paper builds a practical training platform for business practice courses and conducts research on relevant decision support algorithms on the platform.The main contents are as follows:This paper puts forward the auxiliary strategies of guided commodity marketing training and reservation commodity marketing training.These two strategies are based on the theories of new product diffusion and customer-oriented marketing,and aim at the rapid promotion of new products and the exploration of potential value of consumers,so as to help students participating in the course effectively carry out online and offline marketing activities.Droved by commodities marketing training auxiliary strategy through the establishment of associated data network,access to a collection of various goods node relationship,and then on the basis of the old and new properties and categories of commodities in the grade division,using the data of retail goods fast clustering(WEFCMO)algorithm for clustering,heuristic information commodity marketing support training provided for students.Appointment type product marketing training auxiliary strategy put forward a method of loyal customers and clinch a deal the customers and the method of calculating consumers buy groceries product cycle,for loyal customers,according to its own spending habits,consumption of goods are expected to complete before offer goods for conducting training students to make an appointment type marketing order information,clinch a deal for the customer,with many loyal customers consumption cycle for reference,provide guide training students information reservation type marketing order the goods.The two marketing strategies are applied to the course training to provide the students with marketing "tools" and facilitate them to carry out marketing activities better.In order to evaluate the students who participate in the practical training of business practice,this paper puts forward the performance evaluation algorithm and the marketing behavior evaluation algorithm.Based on the construction of the course performance evaluation index system and the introduction of the concept of fuzzy number,the improved fuzzy analytic hierarchy process(FAHP)is put forward to evaluate the quantitative and qualitative indicators of the students' practical training,so as to give the course performance.On the basis of constructing the marketing relationship network of practical students,the optimization algorithm of marketing behavior establishes the fitness function of expected influence of nodes through the improved genetic algorithm,and then seeks the nodes with the maximum influence in the marketing relationship network,so as to select the relatively excellent marketing behaviors and accumulate cases for improving the teaching effect in the future.This paper also sets up a training platform for business practice courses--"economic and trade shopping mall".The training platform provides support for cultivating applied business practice talents,provides conditions for the research of curriculum reform,and provides experimental data and test environment for various algorithms studied in this paper.