Pythia: A Privacy-enhanced Personalized Contextual Suggestion System for Tourism

G. Drosatos; P.S. Efraimidis; A. Arampatzis; G. Stamatelatos; I.N. Athanasiadis

doi:10.1109/COMPSAC.2015.88

Pythia: A Privacy-enhanced Personalized Contextual Suggestion System for Tourism

G. Drosatos, P.S. Efraimidis, A. Arampatzis, G. Stamatelatos, I.N. Athanasiadis

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

14 Citations (Scopus)

Abstract

We present Pythia, a privacy-enhanced non-invasive contextual suggestion system for tourists, with important architectural innovations. The system offers high quality personalized recommendations, non-invasive operation and protection of user privacy. A key feature of Pythia is the exploitation of the vast amounts of personal data generated by smartphones to automatically build user profiles, and make contextual suggestions to tourists. More precisely, the system utilizes (sensitive) personal data, such as location traces, browsing history and web searches (query logs), to build a POI-based user profile. This profile is then used by a contextual suggestion engine for making POI recommendations to the user based on her current location. Strong privacy guarantees are achieved by placing both mechanisms at the user-side. As a proof of concept, we present a Pythia prototype which implements the aforementioned mechanisms as mobile applications for Android, as well as, web applications.

Original language	English
Title of host publication	Computer Software and Applications Conference (COMPSAC)
Editors	Sheikh Iqbal Ahamed, Carl K. Chang, William Chu, Ivica Crnkovic, Pao-Ann Hsiung, Gang Huang, Jingwei Yang
Publisher	IEEE
Pages	822-827
Volume	2
ISBN (Print)	9781467365635
DOIs	https://doi.org/10.1109/COMPSAC.2015.88
Publication status	Published - 2015
Event	2015 IEEE 39th Annual - TBD, Taichung, Thailand Duration: 1 Jul 2015 → 5 Jul 2015

Conference/symposium

Conference/symposium	2015 IEEE 39th Annual
Country/Territory	Thailand
City	Taichung
Period	1/07/15 → 5/07/15

Keywords

Contextual Suggestion
Mobile Computing
Non-Invasiveness
Personal Data
Personalization
Privacy
Tourism

Access to Document

10.1109/COMPSAC.2015.88

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Drosatos, G., Efraimidis, P. S., Arampatzis, A., Stamatelatos, G., & Athanasiadis, I. N. (2015). Pythia: A Privacy-enhanced Personalized Contextual Suggestion System for Tourism. In S. I. Ahamed, C. K. Chang, W. Chu, I. Crnkovic, P.-A. Hsiung, G. Huang, & J. Yang (Eds.), Computer Software and Applications Conference (COMPSAC) (Vol. 2, pp. 822-827). IEEE. https://doi.org/10.1109/COMPSAC.2015.88

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title = "Pythia: A Privacy-enhanced Personalized Contextual Suggestion System for Tourism",

abstract = "We present Pythia, a privacy-enhanced non-invasive contextual suggestion system for tourists, with important architectural innovations. The system offers high quality personalized recommendations, non-invasive operation and protection of user privacy. A key feature of Pythia is the exploitation of the vast amounts of personal data generated by smartphones to automatically build user profiles, and make contextual suggestions to tourists. More precisely, the system utilizes (sensitive) personal data, such as location traces, browsing history and web searches (query logs), to build a POI-based user profile. This profile is then used by a contextual suggestion engine for making POI recommendations to the user based on her current location. Strong privacy guarantees are achieved by placing both mechanisms at the user-side. As a proof of concept, we present a Pythia prototype which implements the aforementioned mechanisms as mobile applications for Android, as well as, web applications.",

keywords = "Contextual Suggestion, Mobile Computing, Non-Invasiveness, Personal Data, Personalization, Privacy, Tourism",

author = "G. Drosatos and P.S. Efraimidis and A. Arampatzis and G. Stamatelatos and I.N. Athanasiadis",

year = "2015",

doi = "10.1109/COMPSAC.2015.88",

language = "English",

isbn = "9781467365635",

volume = "2",

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editor = "Ahamed, {Sheikh Iqbal } and Chang, {Carl K. } and Chu, {William } and Crnkovic, {Ivica } and Hsiung, {Pao-Ann } and Huang, {Gang } and Yang, {Jingwei }",

booktitle = "Computer Software and Applications Conference (COMPSAC)",

publisher = "IEEE",

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note = " 2015 IEEE 39th Annual ; Conference date: 01-07-2015 Through 05-07-2015",

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Drosatos, G, Efraimidis, PS, Arampatzis, A, Stamatelatos, G & Athanasiadis, IN 2015, Pythia: A Privacy-enhanced Personalized Contextual Suggestion System for Tourism. in SI Ahamed, CK Chang, W Chu, I Crnkovic, P-A Hsiung, G Huang & J Yang (eds), Computer Software and Applications Conference (COMPSAC) . vol. 2, IEEE, pp. 822-827, 2015 IEEE 39th Annual, Taichung, Thailand, 1/07/15. https://doi.org/10.1109/COMPSAC.2015.88

Pythia: A Privacy-enhanced Personalized Contextual Suggestion System for Tourism. / Drosatos, G.; Efraimidis, P.S.; Arampatzis, A. et al.
Computer Software and Applications Conference (COMPSAC) . ed. / Sheikh Iqbal Ahamed; Carl K. Chang; William Chu; Ivica Crnkovic; Pao-Ann Hsiung; Gang Huang; Jingwei Yang. Vol. 2 IEEE, 2015. p. 822-827.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

TY - CHAP

T1 - Pythia: A Privacy-enhanced Personalized Contextual Suggestion System for Tourism

AU - Drosatos, G.

AU - Efraimidis, P.S.

AU - Arampatzis, A.

AU - Stamatelatos, G.

AU - Athanasiadis, I.N.

PY - 2015

Y1 - 2015

N2 - We present Pythia, a privacy-enhanced non-invasive contextual suggestion system for tourists, with important architectural innovations. The system offers high quality personalized recommendations, non-invasive operation and protection of user privacy. A key feature of Pythia is the exploitation of the vast amounts of personal data generated by smartphones to automatically build user profiles, and make contextual suggestions to tourists. More precisely, the system utilizes (sensitive) personal data, such as location traces, browsing history and web searches (query logs), to build a POI-based user profile. This profile is then used by a contextual suggestion engine for making POI recommendations to the user based on her current location. Strong privacy guarantees are achieved by placing both mechanisms at the user-side. As a proof of concept, we present a Pythia prototype which implements the aforementioned mechanisms as mobile applications for Android, as well as, web applications.

AB - We present Pythia, a privacy-enhanced non-invasive contextual suggestion system for tourists, with important architectural innovations. The system offers high quality personalized recommendations, non-invasive operation and protection of user privacy. A key feature of Pythia is the exploitation of the vast amounts of personal data generated by smartphones to automatically build user profiles, and make contextual suggestions to tourists. More precisely, the system utilizes (sensitive) personal data, such as location traces, browsing history and web searches (query logs), to build a POI-based user profile. This profile is then used by a contextual suggestion engine for making POI recommendations to the user based on her current location. Strong privacy guarantees are achieved by placing both mechanisms at the user-side. As a proof of concept, we present a Pythia prototype which implements the aforementioned mechanisms as mobile applications for Android, as well as, web applications.

KW - Contextual Suggestion

KW - Mobile Computing

KW - Non-Invasiveness

KW - Personal Data

KW - Personalization

KW - Privacy

KW - Tourism

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DO - 10.1109/COMPSAC.2015.88

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SN - 9781467365635

VL - 2

SP - 822

EP - 827

BT - Computer Software and Applications Conference (COMPSAC)

A2 - Ahamed, Sheikh Iqbal

A2 - Chang, Carl K.

A2 - Chu, William

A2 - Crnkovic, Ivica

A2 - Hsiung, Pao-Ann

A2 - Huang, Gang

A2 - Yang, Jingwei

PB - IEEE

T2 - 2015 IEEE 39th Annual

Y2 - 1 July 2015 through 5 July 2015

ER -

Pythia: A Privacy-enhanced Personalized Contextual Suggestion System for Tourism

Abstract

Conference/symposium

Keywords

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