Research On Key Technology Of Location-Based Service System For Rental Users

The city has become the distributing center of people flow,logistics,information flow making the flow of people and the development of transportation have become a hot and difficult topic.In recent years,the domestic urbanization process has been further accelerated,and a large number of floating population has poured into the city which has greatly promoted the development of economy and society.However,the greater size of the city,housing tension,traffic congestion and other issues have become increasingly prominent.Especially in residential areas,the rising housing prices,housing stock shortage and housing restriction policy further tightened make rental housing become the norm.At the same time,the frequency of residence's change is increasing for the quickening pace of life,entrance to higher education and the change of work.But,the difficulty of finding a suitable living environment has been increasing,and the time to adapt to the new living environment has gradually increased,which limits the vitality of urban population flows and the rational allocation of resources.Therefore,how to reduce the difficulty and cost of renting housing is a problem that needs to be solved urgently in the construction of digital city and smart city.With the rapid development of the geographic information industry and mobile Internet technology,the application scenarios of location-based services have been greatly expanded and widely applied on people's daily life.Location-based service system for rental users is an extension of LBS in urban housing.This system can provide services for residents to quickly find suitable living places and surrounding facilities by means of finding the daily behavior patterns and residential preference characteristics of residents by mining through the daily trip trajectory.And the system makes up for the lack of existing rental platforms and reducing the cost of changing the place of residence.Therefore,the construction of this system has an important practical significance.The main work and achievements of this paper are as follows:1.In this paper,the position services technology,the development of recommendation technology and the status of rental housing industry are summarized and analyzed,and the overall design of the system is completed.With the summarization and analysis of the development status,the current location service related technology research and development of domestic housing rental market situation,the achievements and problems of the current rental housing have been explored,and the necessity and feasibility of establishing location based service system for rental users have been discussed.Combined with the rental housing service scenarios and trends,this thesis has completed the system structure,database and function design of the location service system for renters.2.A trajectory ROI extraction algorithm based on spatio-temporal granularity and moving speed constraint is proposed in this thesis.By analyzing the temporal and spatial granularity characteristics of user track sampling points,the interest points and interest regions in the user's historical travel trace are extracted.With the setting of the residence time window,analysis of the temporal characteristics of the interest region,the user's Jobs-housing information is recognized,and the semantic understanding of the user track data is deepened.3.The model of user relationship map was established.This thesis uses the LD algorithm and LCS algorithm to describes in detail the similarities and differences between user interest region lists,and compute user relationship similarity laying the foundation for personalized recommendation.4.The quality of recommendation service is improved with the improvement of user similarity calculation method.The improved method of similarity calculation between users effectively weakens the adverse effects of cold start of recommender system,and achieves high quality recommendation for the location service system of renters.5.With the Java Web integrated environment,Android application develops tools,MySQL database and Neo4 J map database,this thesis realized the location services prototype system for renters by using Java programming language,and verified the relevant methods and models.