A Privacy-by-Design Contextual Suggestion System for Tourism

A Privacy-by-Design Contextual Suggestion System for Tourism

We focus on personal data generated by the sensors and through the everyday usage of smart devices and take advantage of these data to build a non-invasive contextual suggestion system for tourism. The system, which we call Pythia, exploits the computational capabilities of modern smart devices to o...

Full description

Bibliographic Details
Main Authors:	Pavlos S. Efraimidis, George Drosatos, Avi Arampatzis, Giorgos Stamatelatos, Ioannis N. Athanasiadis
Format:	Article
Language:	English
Published:	MDPI AG 2016-05-01
Series:	Journal of Sensor and Actuator Networks
Subjects:	privacy personalization contextual suggestion privacy by design non-invasiveness tourism mobile computing recommendation systems
Online Access:	http://www.mdpi.com/2224-2708/5/2/10

Similar Items

Contextual Suggestion and Recommendation Systems: A Review on Challenges in User Modeling and Privacy Concern
by: Haseeb ur Rehman Khan, et al.
Published: (2021-03-01)

Review of Privacy-Preserving Research in Recommendation Systems
by: FENG Han, YI Huawei, LI Xiaohui, LI Rui
Published: (2023-08-01)

Fortified Anonymous Communication Protocol for Location Privacy in WSN: A Modular Approach
by: Abdel-Shakour Abuzneid, et al.
Published: (2015-03-01)

Strengthening Children’s Privacy Literacy through Contextual Integrity
by: Priya C. Kumar, et al.
Published: (2020-11-01)

An Enhanced Source Location Privacy based on Data Dissemination in Wireless Sensor Networks (DeLP)
by: Naveed Jan, et al.
Published: (2019-05-01)

Privacy Compliance System by Design Platforms: A Case of Privacy Concerns for Thai Teenagers
by: Saranya Saetang
Published: (2021-03-01)

A Survey on Privacy Issues in Mobile Social Networks
by: Akshita Maradapu Vera Venkata Sai, et al.
Published: (2020-01-01)

An efficient privacy-preserving point-of-interest recommendation model based on local differential privacy
by: Chonghuan Xu, et al.
Published: (2022-12-01)

Research on the influence mechanism of privacy invasion experiences with privacy protection intentions in social media contexts: Regulatory focus as the moderator
by: Subai Chen, et al.
Published: (2023-01-01)

Online Privacy Fatigue: A Scoping Review and Research Agenda
by: Karl van der Schyff, et al.
Published: (2023-04-01)

Experiential Transformation in Privacy Behavior: A New Framework for Privacy Behavior Enhancement
by: Ioannis Paspatis, et al.
Published: (2024-02-01)

Personalized Privacy Protection-Preserving Collaborative Filtering Algorithm for Recommendation Systems
by: Bin Cheng, et al.
Published: (2023-04-01)

Privacy-Preserving of Check-in Services in MSNS Based on a Bit Matrix
by: Wen Chen
Published: (2015-06-01)

The Role of Privacy Fatigue in Privacy Paradox: A PSM and Heterogeneity Analysis
by: Xinluan Tian, et al.
Published: (2022-09-01)

Investigating the dimensions of students’ privacy concern in the collection, use and sharing of data for learning analytics
by: Maina Korir, et al.
Published: (2023-03-01)

Privacy-Preserving Task Offloading Strategies in MEC
by: Haijian Yu, et al.
Published: (2022-12-01)

Parking recommender system privacy preservation through anonymization and differential privacy
by: Yasir Saleem, et al.
Published: (2021-02-01)

Factors Affecting Students’ Privacy Paradox and Privacy Protection Behavior
by: Weinberger Maor, et al.
Published: (2017-06-01)

An Overview of Privacy Dimensions on the Industrial Internet of Things (IIoT)
by: Vasiliki Demertzi, et al.
Published: (2023-08-01)

mPrivacy: A Privacy Policy Engine and Safeguard Mechanism in Mobile Devices
by: Zhong Zhang, et al.
Published: (2021-12-01)

Privacy view and target of differential privacy
by: Jingyu JIA, Chang TAN, Zhewei LIU, Xinhao LI, Zheli LIU, Tao ZHANG
Published: (2023-10-01)

Managing privacy in the digital economy
by: Chong Wang, et al.
Published: (2021-09-01)

Differential privacy in collaborative filtering recommender systems: a review
by: Peter Müllner, et al.
Published: (2023-10-01)

Is the Privacy Paradox a Domain-Specific Phenomenon
by: Ron S. Hirschprung
Published: (2023-08-01)

A Privacy-Preserving Time-Aware Method for Next POI Recommendation
by: Jianyong Fan, et al.
Published: (2023-07-01)

Privacy Goals for the Data Lifecycle
by: Jane Henriksen-Bulmer, et al.
Published: (2022-10-01)

A Privacy-Preserving Framework for Trust-Oriented Point-of-Interest Recommendation
by: An Liu, et al.
Published: (2018-01-01)

Concept, Examples and Jurisprudential and Legal Documents of Family Privacy
by: abolghasem naghibi, et al.
Published: (2022-05-01)

Facilitating innovation in the API economy: Privacy-enhanced and novelty-aware API recommendation for enterprises
by: Baogui Xin, et al.
Published: (2023-07-01)

The Effects of Applying Privacy by Design to Preserve Privacy and Personal Data Protection in Mobile Cloud Computing: An Exploratory Study
by: Hussain Mutlaq Alnajrani, et al.
Published: (2020-12-01)

Data privacy during pandemics: a systematic literature review of COVID-19 smartphone applications
by: Amany Alshawi, et al.
Published: (2022-01-01)

Privacy Awareness Monitoring
by: Małgorzata Pańkowska
Published: (2019-11-01)

FL-ODP: An Optimized Differential Privacy Enabled Privacy Preserving Federated Learning
by: Maria Iqbal, et al.
Published: (2023-01-01)

Privacy-preserving targeted advertising for mobile devices
by: Liu, Y
Published: (2017)

On privacy
by: Véliz, C
Published: (2017)

Sociotechnical Privacy. Mapping the Research Landscape
by: Carsten Ochs, et al.
Published: (2014-01-01)

Sharenting on Instagram and Children's Privacy Gatekeeping
by: Seyed Mohamad Mahdizadeh Taleshi, et al.
Published: (2022-03-01)

Privacy Profiles and Amplification by Subsampling
by: Borja Balle, et al.
Published: (2020-01-01)

A Cascade Framework for Privacy-Preserving Point-of-Interest Recommender System
by: Longyin Cui, et al.
Published: (2022-04-01)

Personalized Privacy Protection Based on Space Grid in Mobile Crowdsensing
by: Hengfei Gao, et al.
Published: (2023-11-01)