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Design And Implementation Of Travel Route Recommendation System Based On User Behaviors

Posted on:2015-01-07Degree:MasterType:Thesis
Country:ChinaCandidate:F L HuangFull Text:PDF
GTID:2298330422477162Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Tourism has become an important activity to improve the quality of people’slife, especially after digital products are widely used. It greatly promotes the tourismindustry, and brings huge convenience to visitors in the aspect of navigation system.However, most of the current navigation equipment are single and fixed pattern,their navigation mode will not make corresponding changes according to the changeof the current situation of the scenic spot.In the background of this situation, this paper study the recommendationinformation about tourism scenic route. The design of the circuit in the scenic spotsare mainly restricted by the travel time, number of scenic spots, tourist scenic spotprograms, and the number of visitors. In these factors, time and the number oftourists play the most important roles in all influence factors, they can be collectedin the process of tourists by using mobile devices. In this paper, we analysis thedevelopment status quo and related theory of tourism route navigation system, putforward the scheme of design and implementation of travel route recommendationsystem based on user behaviors. The system, mentioned in this paper, is divided intoWeb application and Android application, which are used by administers and visitorsrespectively. Among them, the features of Web terminal includes user behavior dataclustering, the construction of the user behavior model, the realization ofinformation recommendation model; and the features of Android terminal includesmap navigation, user behavior data acquisition and the display of recommendationinformations. By the cooperation of the two terminals, the system can provide users with real-time path guide and the announcement of changes about scenic spot, sovisitors can adjust their plans easily.The recommendation informations which are analyzed by collecting userbehavior data can greatly satisfy the user`s requirements, allowing users to play inthe interests in the limited time. Furthermore, it can reduce the troubles which arearising in the course of travel routes.
Keywords/Search Tags:User Behavior, Behavior Data Clustering, Travel Routes, InformationRecommendation Model
PDF Full Text Request
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