Research On Tourism Map Recommendation Method By Cases-based Reasoning

With the rapid development of economy,tourism has become an important part of people life.Highlight the role of tourist map in the tourism activities gradually.In order to meet the needs of various users,tourist map service develops to the trend of diversification and personalization.However,the diversity and complexity of the tourist map service increase the cognitive burden of the users,with some problems such as "information disorientation" and "cognitive barriers".The most pressure problem is meeting the needs of the users' tourist map visualization requirements.The tourist map personalized recommendation service is able to provide tourist map visualization results to users according to their demanding and environmental condition,which is helpful to increase the usability and service quality of tourist maps.At present,the lack of theoretical guidance on the tourist map personalized recommendation,user interest and user environment results in personalized recommendation results in the problems of subjectivity and blindness,which decrease the accuracy of tourism map personalized recommendation results.In order to solve this problem,this thesis research on the tourist map personalized recommendation methods based on case based reasoning.And more details are as follows:1.Summarize the research situation.Analysis of the relative research on map service,tourist map service,personalized recommendation service and personalized tourist map service research.Analysis of the existing problems and elaborate on the goal,significance,overall framework and research contents of the thesis.2.Create a method system of tourist map personalized recommendation system based on case based reasoning.Describe the conception,characteristics and research contents of map service,tourist map service and personalized service.Analysis the personalized recommendation algorithm,introduce the advantage of case-based reasoning.Establish a method system of tourism map personalized recommendation based on case reasoning.3.Study on the method of user interest acquisition.Analyse of the factors which influence the acquisition of tourists' interest in tourism maps.Use the method of questionnaire to screen the multidimensional situational factors.Research Web log and eye movement experiment to obtain the user's interest in the content and expression of the tourist map.4.Design a tourist map personalized recommendation case base.Summarize the concepts,characteristics and creating methods of tourist map personalized recommendation case base.Study on the research content of the tourism map personalized recommendation case,which is essential to descript the tourist map personalized recommendation case.5.Research on the personalized recommendation method based on case based reasoning.Introduce the principle of case-based reasoning,and the decision tree ID3 algorithm is applied to the case of personalized recommendation of tourist map.Calculate the weight of personalized recommendation conditions using entropy method,the nearest neighbor algorithm to establish the similarity between the old case matching methods of case and case database.Realize the personalized recommendation function of tourism map.Discuss the correctness and rationality of the personalized recommendation method.6.Develop a personalized tourism map recommendation service prototype system.Put forward the design principle of prototype system should and design framework of the prototype system.Realize the main function of the prototype system.Prove the accuracy of the feasibility of the prototype system and personalized recommendation rules.