Applying Posterior Probability Support Vector Machine to Evaluate the Market Adaptability of the Product of Tourism Agency

The product of the tourism agency can be divided into two classes of the pushing product and the pulling product. It is the very pivotal and significative step of product designing to evaluate the market adaptability of pushing product of the tourism agency. The paper studies the corner of the tour product market and illuminates that the rootstock is insufficient pushing product market adaptability analysis of the tourism agency. The product market adaptability analysis is regarded as a pattern recognition problem of two categories that the product is well adaptability or not the first time. A method based on the posterior probability support vector machine (PPSVM) is applied to evaluate the market adaptability of the product of the tourism agency after comparing the existing analysis method. In the last the technique is proved valid using demonstration analysis and the PPSVM model has the better average prediction accuracy and generality than the other models discussed in literature