Design And Implementation Of Personalized Spots Route Recommendation System

With the development of the Internet and the improvement of people's living standards,tourism has become an important activity to improve people's life quality.In particular,the wide application of digital products has greatly promoted the development of tourism.The channels through which people can obtain travel information also increase with the wide application of information technology.Traditional spots recommendation systems are increasingly unable to meet people's needs and cannot meet the individual needs of different users.In order to facilitate the user to quickly locate the information of interest spots during the travel planning,meet their own personalized needs,a personalized spots route recommendation system is generated.Based on the user's personalized preferences,in this article,we build a personalized spots route recommendation system based on scenic spots around Xiamen University.The system adopts a three-layer B/S architecture design.Users can interact with the system through the browser anytime anywhere.At the same time,the application of the personalized route recommendation algorithm,after the system collects the user's personalized preferences.the system can provide each user with a personalized service that meets their own needs.The system mainly consists of two parts.The first part is the construction of the system.We mainly rely on the advantages of Java cross-platform and Java's support for Web server development to achieve user-system interaction and spots state management.Among them,the user interacts with the system mainly realizes the collection of user's personalized preferences.The management of the spots is mainly stored the information of spots in the database,and the crowded state of the spots is simulated through the database field.When the system is recommended,it is combined with the crowded state of the spots,it can make the result more realistic.The second part is the design and implementation of personalized route recommendation algorithm.We use a personalized attraction route recommendation algorithm based on user preferences to recommend personalized routes to users by using the personalized user preference information included in the system and combining the different states of the attractions.Finally,in the analysis of different strategy recommendation results,the efficiency of the algorithm is analyzed and the recommended routes are compared under different user preferences or different constraints.