Extracting POIs for navigation based on analyzed user residentiality using SNS photos

Wang, Yuanyuan; Siriaraya, Panote; Kawai, Yukiko

Permalink

https://hdl.handle.net/2142/103363 Copy

Description

Title

Extracting POIs for navigation based on analyzed user residentiality using SNS photos

Author(s)

• Wang, Yuanyuan
• Siriaraya, Panote
• Kawai, Yukiko

Issue Date

2019-03-15

Keyword(s)

• POIs
• Navigation
• Social networking service (SNS)
• SNS photos
• Geo-tagged tweets
• Residentiality

Abstract

This paper presents a novel POI (Point of Interest) extraction method based on the residency characteristics of SNS users. Our goal is to present SNS photos of extracted POIs with high visibility and high awareness for each user on their navigation routes. In our method, we first determine the residential region of each user using geo-tagged tweets and then extract POIs at the nonresidential locations by calculating the residential users' appearance frequency based on geo-tagged tweets. This allows us to present the SNS photos of the extracted POIs by each residency characteristic on the navigation routes.

Publisher

iSchools

Series/Report Name or Number

iConference 2019 Proceedings

Type of Resource

text

Language

eng

Permalink

http://hdl.handle.net/2142/103363

DOI

https://doi.org/10.21900/iconf.2019.103363

Copyright and License Information

Copyright 2019 Yuanyuan Wang, Panote Siriaraya, and Yukiko Kawai

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