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BOTTARI: An Augmented Reality Mobile Application to Deliver Personalized and Location-Based Recommendations by Continuous Analysis of Social Media Streams

10 Pages Posted: 24 Jun 2018 Publication Status: Accepted

See all articles by Marco Balduini

Marco Balduini

Polytechnic University of Milan - Dipartimento di Elettronica e Informazione

Irene Celino

CEFRIEL

Daniele Dell´Aglio

CEFRIEL

Emanuele Della Valle

Polytechnic University of Milan - Dipartimento di Elettronica e Informazione; CEFRIEL

Yi Huang

Siemens AG

Tony Lee

Saltlux, Inc.

Seon-Ho Kim

Saltlux, Inc.

Volker Tresp

Siemens AG

Abstract

In 2011, an average of three million tweets per day was posted in Seoul. Hundreds of thousands of tweets carry the live opinion of some tens of thousands of users about restaurants, bars, coffees and many other semi-public points of interest (POIs) in the city. Trusting this collective opinion to be a solid base for novel commercial and social services, we conceived BOTTARI: an augmented reality application that offers personalized and localized recommendation of POIs based on the temporally-weighted opinions of the social media community. In this paper, we present the design of BOTTARI, the potentialities of semantic technologies like inductive and deductive stream reasoning and the lesson learnt in experimentally deploying BOTTARI in Insadong – a popular tourist area in Seoul – for which we have been collecting tweets for three years to rate the few hundreds of restaurants in the district. The results of our study show to demonstrate the feasibility of BOTTARI and encourage its commercial spreading.

Keywords: Social Media Analysis, Mobile App, Personalized Recommendation, Location-Based Recommendation, Stream Reasoning

Suggested Citation

Balduini, Marco and Celino, Irene and Dell´Aglio, Daniele and Della Valle, Emanuele and Huang, Yi and Lee, Tony and Kim, Seon-Ho and Tresp, Volker, BOTTARI: An Augmented Reality Mobile Application to Deliver Personalized and Location-Based Recommendations by Continuous Analysis of Social Media Streams (2012). Journal of Web Semantics First Look 16_5_4, Available at SSRN: https://ssrn.com/abstract=3198980 or http://dx.doi.org/10.2139/ssrn.3198980

Marco Balduini (Contact Author)

Polytechnic University of Milan - Dipartimento di Elettronica e Informazione ( email )

Via Ponzio 34/5
Milano, 20133
Italy

Irene Celino

CEFRIEL ( email )

Viale Sarca, 226
Milan
Italy

Daniele Dell´Aglio

CEFRIEL ( email )

Viale Sarca, 226
Milan
Italy

Emanuele Della Valle

Polytechnic University of Milan - Dipartimento di Elettronica e Informazione ( email )

Via Ponzio 34/5
Milano, 20133
Italy

CEFRIEL ( email )

Viale Sarca, 226
Milan
Italy

Yi Huang

Siemens AG ( email )

United States

Tony Lee

Saltlux, Inc. ( email )

7F, Deokil Building
967, Daechi-dong, Gangnam-gu
Seoul
Korea, Republic of (South Korea)

Seon-Ho Kim

Saltlux, Inc. ( email )

7F, Deokil Building
967, Daechi-dong, Gangnam-gu
Seoul
Korea, Republic of (South Korea)

Volker Tresp

Siemens AG ( email )

United States

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