Context-oriented E-commerce Platform For Smart Scenic Spots

In recent years,the tourism industry has witnessed a rapid development.With the concept of Internet Plus,the convergence of the Internet and traditional industries is further accelerated.At present,the tourism industry is also increasingly dependent on the Internet.Various online travel e-commerce platforms are contending with each other.However,there are still many problems with the combination of online scene and offline scene.In this paper,we design a contextualized e-commerce platform for smart scenic spots,which combines the e-commerce platform with the smart travel within scenic spots.Based on the scenario of smart scenic spots,we build a collaborative filtering recommendation system based on context clustering.The main work of this paper are:(l)Put forward a scenario-oriented e-commerce platform for smart scenic spots,make the overall design according to the demand,give the detailed design and implementation of the server and client,and provide a context-based collaborative filtering recommendation module to make the system effective respond to the individual needs of users.(2)The database design is optimized for the characteristics of offline scenarios.GeoHash is used to optimize location-basedqueries with support of Redis caching mechanism to speed up system response.(3)A collaborative filtering recommendation system based on situation clustering is proposed.Based on the traditional iterm-based collaborative filtering,adding a layer of user-context-based clustering,to some extent,it alleviate the situation of data sparse and cold start,and the recommendation effect is improved after considering the context.(4)Relevant tests and summarizations of this system have been carried out to verify the effectiveness and efficiency of the system.