title: Is Probabilistic Perspective a nice method to predict clients' preference trends commercially？
body: <p>There is a company, it provides 200 products for its 8000 customers. The average number of customers purchased products is 10. Some big customers may buy 20 or more products.</p>
  
  <p>The mainstream products are hot, now the company wants to enlarge its market with <strong>AI</strong>.</p>
  
  <p>This is the question, the company does not provide clients' data to you. You have to google something to replace.</p>
  
  <p>My general solution: If customer A purchases a, b, c, d and e products, customer B purchases a, b, c and d products. If I promote e to customer B, I can do it easily.</p>
  
  <p>Seriously, in my opinion, it is a 8000*n dataset, and I need to do a data clustering at first, heatmap or dendrogram. Then using the predictive modelling, p(e|a，b，c，d) for each cluster. Is is ok? </p>
  
  <p><strong>You can ignore following sentences.</strong></p>
  
  <p>Hi! I am a bachelor of Information System in the final semester, join a project(a new project aims to let different industries students cooperate), have a business mentor who knows nothing about computer science and business teammates who do not know what is R, what is SPSS.</p>
  
  <p>Our project sounds nice, we have a nice talk with client, everything seems nice. We start to do the timeline now.</p>