Research And Implementation Of User Behavior For O2O Internet Catering Industry

The rapid development of the Internet promotes the traditional catering industry changes.The amount of 020 Internet catering industry data is growing.Convenient dining experience attracts increasing users to the new eating pattern.Internet ordering has become an important part of life.But how to in-depth understand of the ordering behavior of users and to provide users with a better dining experience has become a hot issue in the Internet catering industry.To solve these problems,this paper studies and proposes models of ordering behavior from individual and group level respectively.The works done in the paper are as follows:1.Aiming at the research of individual level ordering behavior,an interest-driven model based on ordering experience is proposed.On the basis of interest-driven model,user ordering experiences are introduced by analyzing the specific factors of user interest in ordering behaviors.The simulation which is similar with the empirical experiments confirmed the validity of the model in this chapter.It also illustrate the key role in the phenomenon of user ordering behavior.2.Aiming at the research of group level ordering behavior,a group ordering behavior model considering both purchase attractiveness and ordering preference is proposed.The model which is based on a Poisson network model with node batch arrival proposes order generation method related with purchase attractiveness and buying strategy which preferred the restaurant with lots of orders.The simulation results are consistent with the actual data analysis,the model can explain the group ordering behavior very well.3.Based on the above factors,a restaurant recommendation prototype system is designed and implemented through user behavior analysis.The system learns users' buying preference by calculating users'ordering experience,purchase attractiveness and sales of the restaurant.Then it will try to recommend what users might be interested in.