Seminar on Internet Technologies (Summer 2019): Difference between revisions

Jump to navigation Jump to search
Line 87: Line 87:
|
|
|-
|-
| '''A survey of 5G'''
| '''User Location Prediction based on Geo-social Networking Data'''
| Reading papers about 5G, especially its influence on big data and give a survey
| The increasing amount of user and location information in GSN makes the information overload phenomenon more and more serious. Although massive user generated data brings convenience to users' social and travel activities, it also causes certain trouble for their daily life. In this context, users are expecting smarter mobile applications, so that the location information can be employed to perceive their surrounding environment intelligently and further mine their behavior patterns in GSN, which ultimately provides personalized location-based services for users. Therefore, research on user location prediction comes into existence and have received extensive and in-depth attention from researchers. Through systematically analyzing the location data carried by user check-ins and comments, user location prediction can mine various user behavior patterns and their personal preferences, thus determining the visiting location of users in the future
|  
| Applicants should master basic knowledge on data mining
| [Shichang Ding--sding@gwdg.de]
| [Shichang Ding--sding@gwdg.de]
|  
| [http://staff.ustc.edu.cn/~cheneh/paper_pdf/2015/Yingzi-Wang-KDD.pdf]
|}
|}


308

edits

Navigation menu