GeoFeed: A location aware news feed system

Jie Bao, Mohamed F Mokbel, Chi Yin Chow

Research output: Contribution to journalConference article

34 Citations (Scopus)

Abstract

This paper presents the Geo Feed system, a location-aware news feed system that provides a new platform for its users to get spatially related message updates from either their friends or favorite news sources. Geo Feed distinguishes itself from all existing news feed systems in that it takes into account the spatial extents of messages and user locations when deciding upon the selected news feed. Geo Feed is equipped with three different approaches for delivering the news feed to its users, namely, spatial pull, spatial push, and shared push. Then, the main challenge of Geo Feed is to decide on when to use each of these three approaches to which users. Geo Feed is equipped with a smart decision model that decides about using these approaches in a way that: (a) minimizes the system overhead for delivering the location-aware news feed, and (b) guarantees a certain response time for each user to obtain the requested location-aware news feed. Experimental results, based on real and synthetic data, show that Geo Feed outperforms existing news feed systems in terms of response time and maintenance cost.

Original languageEnglish (US)
Article number6228072
Pages (from-to)54-65
Number of pages12
JournalProceedings - International Conference on Data Engineering
DOIs
StatePublished - Jul 30 2012
EventIEEE 28th International Conference on Data Engineering, ICDE 2012 - Arlington, VA, United States
Duration: Apr 1 2012Apr 5 2012

Fingerprint

Costs

Cite this

GeoFeed : A location aware news feed system. / Bao, Jie; Mokbel, Mohamed F; Chow, Chi Yin.

In: Proceedings - International Conference on Data Engineering, 30.07.2012, p. 54-65.

Research output: Contribution to journalConference article

@article{e9a8aeeeef754476a4db07dd1c0aca3a,
title = "GeoFeed: A location aware news feed system",
abstract = "This paper presents the Geo Feed system, a location-aware news feed system that provides a new platform for its users to get spatially related message updates from either their friends or favorite news sources. Geo Feed distinguishes itself from all existing news feed systems in that it takes into account the spatial extents of messages and user locations when deciding upon the selected news feed. Geo Feed is equipped with three different approaches for delivering the news feed to its users, namely, spatial pull, spatial push, and shared push. Then, the main challenge of Geo Feed is to decide on when to use each of these three approaches to which users. Geo Feed is equipped with a smart decision model that decides about using these approaches in a way that: (a) minimizes the system overhead for delivering the location-aware news feed, and (b) guarantees a certain response time for each user to obtain the requested location-aware news feed. Experimental results, based on real and synthetic data, show that Geo Feed outperforms existing news feed systems in terms of response time and maintenance cost.",
author = "Jie Bao and Mokbel, {Mohamed F} and Chow, {Chi Yin}",
year = "2012",
month = "7",
day = "30",
doi = "10.1109/ICDE.2012.97",
language = "English (US)",
pages = "54--65",
journal = "Proceedings - International Conference on Data Engineering",
issn = "1084-4627",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - GeoFeed

T2 - A location aware news feed system

AU - Bao, Jie

AU - Mokbel, Mohamed F

AU - Chow, Chi Yin

PY - 2012/7/30

Y1 - 2012/7/30

N2 - This paper presents the Geo Feed system, a location-aware news feed system that provides a new platform for its users to get spatially related message updates from either their friends or favorite news sources. Geo Feed distinguishes itself from all existing news feed systems in that it takes into account the spatial extents of messages and user locations when deciding upon the selected news feed. Geo Feed is equipped with three different approaches for delivering the news feed to its users, namely, spatial pull, spatial push, and shared push. Then, the main challenge of Geo Feed is to decide on when to use each of these three approaches to which users. Geo Feed is equipped with a smart decision model that decides about using these approaches in a way that: (a) minimizes the system overhead for delivering the location-aware news feed, and (b) guarantees a certain response time for each user to obtain the requested location-aware news feed. Experimental results, based on real and synthetic data, show that Geo Feed outperforms existing news feed systems in terms of response time and maintenance cost.

AB - This paper presents the Geo Feed system, a location-aware news feed system that provides a new platform for its users to get spatially related message updates from either their friends or favorite news sources. Geo Feed distinguishes itself from all existing news feed systems in that it takes into account the spatial extents of messages and user locations when deciding upon the selected news feed. Geo Feed is equipped with three different approaches for delivering the news feed to its users, namely, spatial pull, spatial push, and shared push. Then, the main challenge of Geo Feed is to decide on when to use each of these three approaches to which users. Geo Feed is equipped with a smart decision model that decides about using these approaches in a way that: (a) minimizes the system overhead for delivering the location-aware news feed, and (b) guarantees a certain response time for each user to obtain the requested location-aware news feed. Experimental results, based on real and synthetic data, show that Geo Feed outperforms existing news feed systems in terms of response time and maintenance cost.

UR - http://www.scopus.com/inward/record.url?scp=84864246484&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84864246484&partnerID=8YFLogxK

U2 - 10.1109/ICDE.2012.97

DO - 10.1109/ICDE.2012.97

M3 - Conference article

AN - SCOPUS:84864246484

SP - 54

EP - 65

JO - Proceedings - International Conference on Data Engineering

JF - Proceedings - International Conference on Data Engineering

SN - 1084-4627

M1 - 6228072

ER -