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High-Quality Prediction of Tourist Movements using Temporal Trajectories in Graphs

Shima Moghtasedi, Cristina Ioana Muntean, Franco Maria Nardini, Roberto Grossi, Andrea Marino
2020 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)  
In particular, we propose a model to identify the next point of interest that a tourist will visit in the future, by making use of similarity between trajectories on a graph and taking into account the  ...  In this paper, we study the problem of predicting the next position of a tourist given his history.  ...  Sketch of the Solution Our basic idea is to use the relation between the trajectories of the tourists to predict their next movement.  ... 
doi:10.1109/asonam49781.2020.9381450 fatcat:xbfkilkffjdprnfl3esu5i7aqe

Making tourist guidance systems more intelligent, adaptive and personalised using crowd sourced movement data

Anahid Basiri, Pouria Amirian, Adam Winstanley, Terry Moore
2017 Journal of Ambient Intelligence and Humanized Computing  
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution  ...  , and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ...  This paper shows the use of crowd-sourced trajectories of movements in an art gallery to analyse and recognise the patterns of movement, identify the point of interests (PoIs) using spatio-temporal data  ... 
doi:10.1007/s12652-017-0550-0 fatcat:xbd2xj3nivfd7bi7kcnaqgkaqy

LSTM-Based Deep Learning Model for Predicting Individual Mobility Traces of Short-Term Foreign Tourists

Alessandro Crivellari, Euro Beinat
2020 Sustainability  
place in the trajectory.  ...  This paper tackles a particular case of the trajectory prediction problem, focusing on large-scale mobility traces of short-term foreign tourists.  ...  Conflicts of Interest: The authors declare no conflict of interest. Sustainability 2020, 12, 349  ... 
doi:10.3390/su12010349 fatcat:pcxpqgjv7zauvo6anhu3wh62ce

A Trajectory-Based Recommender System for Tourism [chapter]

Ranieri Baraglia, Claudio Frattari, Cristina Ioana Muntean, Franco Maria Nardini, Fabrizio Silvestri
2012 Lecture Notes in Computer Science  
The system generates recommendations, consisting of touristic places, according to the current position of a tourist and previously collected data describing tourist movements in a touristic location/city  ...  We propose several metrics to evaluate both the spatial coverage of the dataset and the quality of recommendations produced. We assess our system on two datasets: a real and a synthetic one.  ...  It is therefore necessary to evaluate a priori the predictive power of the set of T-Pattern used as the quality of the predictions depends on the spatial and temporal characteristics of this set.  ... 
doi:10.1007/978-3-642-35236-2_20 fatcat:giq44lqienhkdezjvgdmak7jxe

MyRoute: A Graph-Dependency Based Model for Real-Time Route Prediction

Hanane Amirat, Nasreddine Lagraa, Philippe Fournier-Viger, Youcef Ouinten
2017 Journal of Communications  
To cope with noise found in trajectory data, a lookahead window is used to build the prediction graph.  ...  The proposed approach represents routes as a graph, which is then used to accurately match road network architecture with real-world vehicle movements.  ...  locations, and therefore a high degree of similarity could be found in their movement exhibiting predictable mobility patterns.  ... 
doi:10.12720/jcm.12.12.668-676. fatcat:quwfcttevbgxzeemclabo7zxs4

Preface of Special Issue on BigDataSE 2016

Heng Qi, Keqiu Li
2018 Computer systems science and engineering  
The authors propose a route recommendation model based on dynamic dividing a user's interaction history, which is more adapt to the high sparsity and temporal characteristics of tourist data.  ...  Accord to big data analysis, we can predict the user preferences thereby recommending some useful information to users.  ... 
doi:10.32604/csse.2018.33.057 fatcat:paq4x4asj5cq7gzb7fdr67lrta

TraceBERT—A Feasibility Study on Reconstructing Spatial–Temporal Gaps from Incomplete Motion Trajectories via BERT Training Process on Discrete Location Sequences

Alessandro Crivellari, Bernd Resch, Yuhui Shi
2022 Sensors  
The main issue when dealing with trajectory recordings, however, is characterized by temporary losses in the data collection, causing possible spatial–temporal gaps and missing trajectory segments.  ...  The proposed framework, named TraceBERT, was tested on a real-world large-scale trajectory dataset of short-term tourists, exploring an effective attempt of adapting advanced language modeling approaches  ...  Among many options, correctly reconstructing missing mobility information of single individuals can lead to potential improvements in the quality of personalized recommendations and touristic experiences  ... 
doi:10.3390/s22041682 pmid:35214584 pmcid:PMC8879562 fatcat:gylits5d5rb5dbizajz6imucgy

Linked Open Data in Location-Based Recommendation System on Tourism Domain: a survey

Phatpicha Yochum, Liang Chang, Tianlong Gu, Manli Zhu
2020 IEEE Access  
for reacting to the needs of tourists.  ...  Third, we group the linked open data sources used in location-based recommendation system on tourism.  ...  In the first model, they used users' histories with a tree-based hierarchical graph method to recommend a user with high interesting locations and travel sequences in the region.  ... 
doi:10.1109/access.2020.2967120 fatcat:yqwkrko6mzfw5e5kckfaxbxzju

Semantic Trajectory Analytics and Recommender Systems in Cultural Spaces

Sotiris Angelis, Konstantinos Kotis, Dimitris Spiliotopoulos
2021 Big Data and Cognitive Computing  
The paper presents a system architecture design for the recognition of semantic trajectory patterns and for the inferencing of possible synthesis of visitor trajectories in cultural spaces, such as museums  ...  The goal of this paper is twofold: (a) to critically review related work on semantic trajectories and knowledge-based interactive recommender systems, and (b) to propose a high-level framework, by describing  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/bdcc5040080 fatcat:kjdlbtlxmzatjp7iiq23uiff4e

Evaluation of Urban Mobility Using Surveillance Cameras

Alexey V. Kurilkin, Oksana O. Vyatkina, Sergey A. Mityagin, Sergey V. Ivanov
2015 Procedia Computer Science  
A case study for some locations in St.Petersburg is considered. Evaluation of urban mobility using surveillance cameras Kurilkin et al.  ...  Evaluation of urban mobility using surveillance cameras Kurilkin et al. Evaluation of urban mobility using surveillance cameras Kurilkin et al.  ...  This work was financially supported by the Russian Foundation for Basic Research, Grant 15-29-07034 "Technology of distributed cloud computing for the simulation of a large city".  ... 
doi:10.1016/j.procs.2015.11.042 fatcat:xhyugt745jb7fezg4v773k2bvi

Leveraging explicitly disclosed location information to understand tourist dynamics: a case study

Fabien Girardin, Filippo Dal Fiore, Carlo Ratti, Josep Blat
2008 Journal of Location Based Services  
In particular, thanks to Assaf Biderman, Francisco Calabrese, Bernd Resch and Toni Navarrete for letting us pick their brains. Of course, any shortcomings are our sole responsibility.  ...  Acknowledgements The results reported in this paper are part of a broader research undertaken in the Wireless City, Florence and Beyond project.  ...  With this quantitative understanding of the trajectories, our software generated flow maps to offer another perspective on the movement by rendering the trajectories of tourist.  ... 
doi:10.1080/17489720802261138 fatcat:dpcemondtff5lciq2ycw4ovapa

Cycling in Tibet: An analysis of tourists' spatiotemporal behavior and infrastructure

Naixia Mou, Zhiwen Liu, Yunhao Zheng, Teemu Makkonen, Tengfei Yang, Lingxian Zhang
2022 Tourism Management  
of Chinese cycling tourists using a case study example of the Tibet Autonomous Region.  ...  ) Cycling tourists in Tibet prefer to use national roads (arguably due to the safety of the road infrastructure and the availability of supporting tourism infrastructure); (3) Cycling tourism is highly  ...  Acknowledgment This research was supported in part by the National Natural Science Foundation of China (41771476).  ... 
doi:10.1016/j.tourman.2021.104418 fatcat:4hf477mzwzhk3io26dnk6nzctu

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

Shivendra Tiwari, Saroj Kaushik
2016 Open Computer Science  
We have evaluated the proposed method using a large real road GPS trajectory of 182 users for identifying the ratings for the collected 26807 point of interests (POI) in Beijing (China).  ...  Depending on the travel nature the visitors are labeled as native, regional and tourist for each place in question.  ...  The preprocessing step however can be skipped in case the underlying trajectory has high quality GPS sequences.  ... 
doi:10.1515/comp-2016-0002 fatcat:d4ncradub5hnxc2azc5jggdiyq

Towards (Re)Constructing Narratives from Georeferenced Photographs through Visual Analytics

Ralph K. Straumann, Arzu Çöltekin, Gennady Andrienko
2014 The Cartographic Journal  
spatial and temporal patterns in user-contributed, georeferenced photographs of Zurich, Switzerland.  ...  These locations may be meaningful to only a certain group of people in certain moments; therefore, studying group differences in spatial and temporal photo-taking patterns will help building a collective  ...  Only few trajectories of foreigners ever follow that direction of movement.  ... 
doi:10.1179/1743277414y.0000000079 fatcat:vpj4vlenbvbtzfrr7awsgobsuy

Big Data Processing, Analysis and Applications in Mobile Cellular Networks [chapter]

Sanja Brdar, Olivera Novović, Nastasija Grujić, Horacio González–Vélez, Ciprian-Octavian Truică, Siegfried Benkner, Enes Bajrovic, Apostolos Papadopoulos
2019 Msphere  
When coupled with spatio-temporal context, location-based data collected in mobile cellular networks provide insights into patterns of human activity, interactions, and mobility.  ...  They include efficient access in privacy-preserving manner, high performance computing environments, scalable data analytics, innovative data fusion with other sources-all finally linked into the applications  ...  The Andorra case study has proposed indicators in high spatial and temporal resolutions such as tourist flows per country of origin, flows of new tourists, revisiting patterns, profiling of tourist interests  ... 
doi:10.1007/978-3-030-16272-6_6 fatcat:wwjrqp3c5ff4vbc2kv3v6ugd34
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