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Mining interesting locations and travel sequences from GPS trajectories

Yu Zheng, Lizhu Zhang, Xing Xie, Wei-Ying Ma
2009 Proceedings of the 18th international conference on World wide web - WWW '09  
In this paper, based on multiple users' GPS trajectories, we aim to mine interesting locations and classical travel sequences in a given geospatial region.  ...  Third, we mine the classical travel sequences among locations considering the interests of these locations and users' travel experiences.  ...  Further, considering a user's experience of travel and the interest of a location, we mine the classical travel sequences from people's GPS logs.  ... 
doi:10.1145/1526709.1526816 dblp:conf/www/ZhengZXM09 fatcat:7yrnudrlczaclduy2ztg6nnxxq

A novel route restoring method upon geo-tagged photos

2013 KSII Transactions on Internet and Information Systems  
Then we apply the Hidden Semi-Markov model and Mean Value method to demonstrate migration discipline in the hot spots and restore the significant region sequence into complete GPS trajectory.  ...  This paper mainly aims at analyzing the large amounts of geo-tagged photos and proposing a novel travel route restoring method.  ...  GPS trajectories, geo-tagged photo routes and etc.  ... 
doi:10.3837/tiis.2013.05.017 fatcat:kzmhithfzzgizltwvkrfremytu

Smart Itinerary Recommendation Based on User-Generated GPS Trajectories [chapter]

Hyoseok Yoon, Yu Zheng, Xing Xie, Woontack Woo
2010 Lecture Notes in Computer Science  
To differentiate good itinerary candidates from less fulfilling ones, we describe how we model and define itinerary in terms of several characteristics mined from user-generated GPS trajectories.  ...  In this paper, we propose a smart recommendation for highly efficient and balanced itineraries based on multiple user-generated GPS trajectories.  ...  Location-Interest Graph From multiple users' GPS trajectories, we detect stay points (Definition 3) and cluster them into locations (Definition 5).  ... 
doi:10.1007/978-3-642-16355-5_5 fatcat:juzykzct25d7lltpg4ynj7h3yq

Survey on Recommendation of Personalized Travel Sequence

Mayuri D. Aswale, Dr. Dharmadhikari S. C.
2017 IJARCCE  
It recommends personalized users travel interest and recommend a sequence of travel interest instead of an individual point of interest.  ...  To solve the problem of providing personalized and sequential travel package recommendation, a topical package model is created using social media data in which automatically mine user travel interest  ...  For travel recommendation in existing system data mined from different kinds of data contained on social media website for traveling, GPS trajectory, check-in data, geotags, and the travelogues of different  ... 
doi:10.17148/ijarcce.2017.6122 fatcat:lwfeqtmakbcoxke5uqn3ut4od4

Social itinerary recommendation from user-generated digital trails

Hyoseok Yoon, Yu Zheng, Xing Xie, Woontack Woo
2011 Personal and Ubiquitous Computing  
In this paper, we propose a social itinerary recommendation by learning from multiple user-generated digital trails, such as GPS trajectories of residents and travel experts.  ...  In order to recommend satisfying itinerary to users, we present an itinerary model in terms of attributes extracted from user-generated GPS trajectories.  ...  To extract meaningful knowledge, we data mine usergenerated digital trails such as GPS trajectories for finding interest locations, inter-related locations in sequence, and time to stay and travel.  ... 
doi:10.1007/s00779-011-0419-8 fatcat:zrdvpuxgszg5xfpyu6l3j3qhga

Adapting the User Path Through Trajectory Data Mining [chapter]

João Ramos, Analide César, José Neves, Paulo Novais
2017 Advances in Intelligent Systems and Computing  
The pervasiveness of location based services such the GPS on mobile devices enabled the gathering of massive spatial-temporal data.  ...  In the development of our system for guiding the user with cognitive disabilities (CogHelper) we are applying a trajectory data mining to adapt and adjust the path to user preferences.  ...  Acknowledgments This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT -Fundação para a Ciência e a Tecnologia within the Project Scope: UID/CEC/00319/2013.  ... 
doi:10.1007/978-3-319-61118-1_24 fatcat:jv7zfnhhbrg2tb43svq653cgi4

Learning Location Correlation from GPS Trajectories

Yu Zheng, Xing Xie
2010 2010 Eleventh International Conference on Mobile Data Management  
GPS trajectories.  ...  In this paper, by taking into account a user's travel experience (knowledge) and the sequentiality that locations have been visited, we learn the location correlation from a large number of user-generated  ...  [19] [20] performed a generic travel recommender that provides a user with the top interesting locations and travel sequences mined from GPS trajectories.  ... 
doi:10.1109/mdm.2010.42 dblp:conf/mdm/ZhengX10 fatcat:cmf6jzicqbcfxmjs3qtjy55kv4

Mining correlation between locations using human location history

Yu Zheng, Lizhu Zhang, Xing Xie, Wei-Ying Ma
2009 Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - GIS '09  
In this paper, by taking into account a user's travel experience and the sequentiality locations have been visited, we propose an approach to mine the correlation between locations from a large number  ...  We conducted a personalized location recommendation system using the location correlation, and evaluated this system with a large-scale real-world GPS dataset.  ...  Mining interesting locations and travel sequences from GPS trajectories for mobile users. In Proceeding of WWW2009, (Madrid, Spain. April 2009), ACM Press: 791-800. Table I .  ... 
doi:10.1145/1653771.1653847 dblp:conf/gis/ZhengZXM09 fatcat:cxcedkddirfqlarchazqnqhmgq

Diversified Trajectory Pattern Ranking in Geo-Tagged Social Media [chapter]

Zhijun Yin, Liangliang Cao, Jiawei Han, Jiebo Luo, Thomas Huang
2011 Proceedings of the 2011 SIAM International Conference on Data Mining  
In this paper, we investigate how to rank the trajectory patterns mined from the uploaded photos with geotags and timestamps.  ...  Instead of focusing on mining frequent trajectory patterns from geo-tagged social media, we put more effort into ranking the mined trajectory patterns and diversifying the ranking results.  ...  Lots of GPS-related data have been generated with the increasing prevalence of GPS devices. Zheng et al. mined the interesting locations and travel sequences from GPS trajectories in [36] .  ... 
doi:10.1137/1.9781611972818.84 dblp:conf/sdm/YinCHLH11 fatcat:uvrn2e26jjdrbjo6vhdwthzsl4

Intelligent Travel Recommendation System by Mining Attributes from Community Contributed Photos

V. Subramaniyaswamy, V. Vijayakumar, R. Logesh, V. Indragandhi
2015 Procedia Computer Science  
This paper describes methods used to mine demographic information and provide travel recommendation to users.  ...  This paper purposes a system which helps user in finding tourist locations that he/she might likes to visit a place from available user contributed photos of that place available on photo sharing websites  ...  Zheng et al. (2011a) utilize GPS trajectory data to extract the interesting location, classical travel sequences and provide personalized friend and location recommender using the similarity of user profiles  ... 
doi:10.1016/j.procs.2015.04.014 fatcat:wzkjtk2y4vci5cewqwwpeadhl4

GeoTravel: Harvesting Ambient Geographic Footprints from GPS Trajectories [article]

Li Ching Liew, Ong Sing Goh
2014 arXiv   pre-print
This study is about harvesting point of interest from GPS trajectories.  ...  Trajectories are the paths that moving objects move by follow through space in a function of time while GPS trajectories generally are point-sequences with geographic coordinates, time stamp, speed and  ...  The architecture for mining the interesting location and traveler travel sequence are as below: i. GPS trajectories/logs is collected ii. Pre-processing is done before mining process iii.  ... 
arXiv:1411.2195v1 fatcat:47656apkq5d73gceyimwksr5vu

Recommendation System for High Utility Itemsets over Incremental Dataset

mozhi, D Manjula J K Kavitha, U Kani
2015 International Journal of Innovative Research in Science, Engineering and Technology  
and mining results.  ...  It is based on the concept of recommendation system using cluster based location prediction strategy to predict users" next movable location and mining high utility itemset to find high utility itemset  ...  correlation for generating the users" interesting locations and travel sequence.  ... 
doi:10.15680/ijirset.2015.0403012 fatcat:ipw6qpjqyrbxxfl3mboklglzty

Route Discovery from Mining Uncertain Trajectories

Hechen Liu, Ling-Yin Wei, Yu Zheng, Markus Schneider, Wen-Chih Peng
2011 2011 IEEE 11th International Conference on Data Mining Workshops  
This system first builds a routable graph from uncertain trajectories, and then answers a user's online query (a sequence of point locations) by searching top-k routes on the graph.  ...  This paper introduces an online trip planning system that mines collective knowledge (i.e., most possible routes between given locations) from massive uncertain trajectories following a paradigm of "uncertain  ...  We mine from more than 73,000 travelers' trajectories in New York City and over 15,000 taxi trajectories in Beijing.  ... 
doi:10.1109/icdmw.2011.149 dblp:conf/icdm/LiuWZSP11 fatcat:2enptwehm5bwtbkc2gssblejse

Location-Based Social Networks: Users [chapter]

Yu Zheng
2011 Computing with Spatial Trajectories  
In this chapter, we introduce and define the meaning of location-based social network (LBSN) and discuss the research philosophy behind LBSNs from the perspective of users and locations.  ...  One is modeling the location history of an individual using the individual's trajectory data.  ...  social knowledge learned from usergenerated and location-related content, such as GPS trajectories and geo-tagged photos.  ... 
doi:10.1007/978-1-4614-1629-6_8 fatcat:wblv2rposjfijdioqjnnlfluoe

Popularity estimation of interesting locations from visitor's trajectories using fuzzy inference system

Shivendra Tiwari, Saroj Kaushik
2016 Open Computer Science  
AbstractIdentifying the interesting places through GPS trajectory mining has been well studied based on the visitor's frequency.  ...  The proposed method maintains a registry to keep the information about the visited users, their stay time and the travel distance from their home location.  ...  A hierarchical graph based method for mining the interesting locations and travel sequences from GPS trajectory databases has been discussed in [13] .  ... 
doi:10.1515/comp-2016-0002 fatcat:d4ncradub5hnxc2azc5jggdiyq
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