short-paper

Multi-stage Collaborative filtering for Tweet Geolocation

Authors:

Keerti Banweer,

Elaine Nsoesie,

Christan GrantAuthors Info & Claims

LocalRec'18: Proceedings of the 2nd ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks

Article No.: 4, Pages 1 - 4

https://doi.org/10.1145/3282825.3282831

Published: 06 November 2018 Publication History

Abstract

Data from social media platforms such as Twitter can be used to analyze severe weather reports and foodborne illness outbreaks. Government officials use online reports for early estimation of the impact of catastrophes and to aid resource distribution. For online reports to be useful they must be geotagged, but location is often not available. Less then one percent of users share their location information and/or acquisition of significant sample of geolocation messages is prohibitively expensive. In this paper, we propose a multi-stage iterative model based on the popular matrix factorization technique. This algorithm uses the partial information and exploits the relationship of messages, location, and keywords to recommend locations for non-geotagged messages. We present this model for geotagging messages using recommender systems and discussion the potential applications and next steps in this work.

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Cited By

Helbich MZeng YSarker A(2024)Area-level Measures of the Social Environment: Operationalization, Pitfalls, and Ways ForwardPrinciples and Advances in Population Neuroscience10.1007/7854_2024_464(277-296)Online publication date: 8-Mar-2024
https://doi.org/10.1007/7854_2024_464
Sergeeva JFilatova AKovalchuk MTeryoshkin S(2023)SemAGRProcedia Computer Science10.1016/j.procs.2022.11.025212:C(409-417)Online publication date: 20-Jan-2023
https://dl.acm.org/doi/10.1016/j.procs.2022.11.025
Thakker UPatel RShah M(2021)A comprehensive analysis on movie recommendation system employing collaborative filteringMultimedia Tools and Applications10.1007/s11042-021-10965-2Online publication date: 8-Jun-2021
https://doi.org/10.1007/s11042-021-10965-2
Show More Cited By

Index Terms

Multi-stage Collaborative filtering for Tweet Geolocation
1. Information systems
  1. Information systems applications
    1. Data mining
      1. Collaborative filtering
    2. Spatial-temporal systems
      1. Location based services

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Published In

cover image ACM Conferences

LocalRec'18: Proceedings of the 2nd ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks

November 2018

46 pages

ISBN:9781450360401

DOI:10.1145/3282825

Editors:
Panagiotis Bouros
Johannes Gutenberg University Mainz, Germany
,
Matthias Renz
Christian-Albrechts-Universität zu Kiel, Germany
,
Dimitris Sacharidis
Technische Universität Wien, Austria

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2018

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Short-paper
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Refereed limited

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SIGSPATIAL '18

Sponsor:

SIGSPATIAL

SIGSPATIAL '18: 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 6, 2018

WA, Seattle, USA

Acceptance Rates

LocalRec'18 Paper Acceptance Rate 3 of 4 submissions, 75%;

Overall Acceptance Rate 17 of 26 submissions, 65%

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Cited By

Helbich MZeng YSarker A(2024)Area-level Measures of the Social Environment: Operationalization, Pitfalls, and Ways ForwardPrinciples and Advances in Population Neuroscience10.1007/7854_2024_464(277-296)Online publication date: 8-Mar-2024
https://doi.org/10.1007/7854_2024_464
Sergeeva JFilatova AKovalchuk MTeryoshkin S(2023)SemAGRProcedia Computer Science10.1016/j.procs.2022.11.025212:C(409-417)Online publication date: 20-Jan-2023
https://dl.acm.org/doi/10.1016/j.procs.2022.11.025
Thakker UPatel RShah M(2021)A comprehensive analysis on movie recommendation system employing collaborative filteringMultimedia Tools and Applications10.1007/s11042-021-10965-2Online publication date: 8-Jun-2021
https://doi.org/10.1007/s11042-021-10965-2
Bouros PRenz MSacharidis D(2019)LocalRec 2018 workshop report the second ACM SIGSPATIAL workshop on recommendations for location-based services and social networks* Seattle, Washington, USA - November 6, 2018SIGSPATIAL Special10.1145/3307599.330761310:3(23-25)Online publication date: 15-Jan-2019
https://dl.acm.org/doi/10.1145/3307599.3307613
Han ZLi SCui CHan DSong H(2019)Geosocial Media as a Proxy for Security: A ReviewIEEE Access10.1109/ACCESS.2019.29491157(154224-154238)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2949115

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