  In the era of information explosion, facing complex information, it is
difficult for users to choose the information of interest, and businesses also
need detailed information on ways to let the ad stand out. By this time, it is
recommended that a good way. We firstly by using random interviews,
simulations, asking experts, summarizes methods outlined the main factors
affecting the scores of books that users drew. In order to further illustrate
the impact of these factors, we also by combining the AHP consistency test,
then fuzzy evaluation method, empowered each factor, influencing factors and
the degree of influence come. For the second question, predict user evaluation
of the listed books from the predict annex. First, given the books Annex
labels, user data extraction scorebooks and mathematical analysis of data
obtained from SPSS user preferences and then use software to nearest neighbor
analysis to result in predicted value.
