Study And Implementation Of Personalized Travel Searching System

This thesis mainly studies user Interest model in relevant fields and accomplishes subject relation model. Based on it query expansion technique is improved and tourism personalized search system is realized. The system takes the travel information of Beijing as knowledge base, analyses its distance properties, subject attribute and extends the concept attribute and instance attribute, which fully satisfies the different requirements of the users.(1) In the traditional system, user interest model is simple, this thesis presents a personalized model that combined with user behavior information and area-weight on attractions, and gives the model frame, designs sort algorithm, and applied to personalized search, so as to realize the query recommend while precise search and query expansion function with fuzzy search, in the end, it proves the validity of the model and the accuracy through the experiment.(2) To improve the single mode in traditional system, in which user can only input keywords, this thesis provides an interactive mode. According to the characteristics of tourism area, this thesis realizes the SDL model and relation algorithms, calculates the relation of the subjects, the concepts and the instances. We can enrich knowledge information database in the tourism domain, and facilitate the query expansion and search in later.(3) Based on the user interest model and the SDL model, this thesis makes the improvements on query expansion skills in the field of tourism search by extending the keywords set with the double model, displays the user’s demand information comprehensively. This way improves the coverage. According to the attentions priority and attentions relation, this system sorts the searching results again, which improve the precision ratio.(4) This thesis designs and realizes the travel personalized search system based on the double model,and designs the knowledge database management module, the module combines the attractions priority and subject relation, provides services for the upper searching module. The system completes the personalized search function, which includes precise search, fuzzy search and corresponding recommend results.The thesis implements a complete personalized search system, provides accurate comprehensive search function, makes full use of the characteristics of the domain knowledge information, combined with the user information and user behavior, launches a semantic analysis, and expands the searching keywords set.