期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：3
页码：1859
DOI：10.15680/IJIRCCE.2017.0603014
出版社：S&S Publications
摘要：A travel recommendation system based on Facebook data extracted. The rapid growth of online travelinformationimposes a growing challenge to tourists who have to choose from a large number of travel packages to meettheir personalized needs. On the other hand, to get more business and profits, travel companies must understand thesepreferences of different tourists and offer more interesting packages. The proposed system is notonly personalized forusers with travel interests, but can also recommend a travel sequence rather than individual Points of Interest (POIs).The thematic package consists of representative labels, cost distributions, visit time and visit season of each topic, isextracted to bridge the vocabulary gap between the user’s travel preferences and travel routes. The system treats usersand routes textual information to obtain the user’s topical package model and directs the topical package model (eg,topic of interest, cost, time, and season). The proposed system reserves the userpackage. in that user you will get all thecosts of the mining sites and you will see the route on the map from the user’s current location. The user can add theirown photos and travel stories in the system
关键词：Geo-tagged photos; Social media-Facebook API; Multimedia information retrieval. Online interest;Travel recommendation
