skip to main content
research-article

LocalRec 2018 workshop report the second ACM SIGSPATIAL workshop on recommendations for location-based services and social networks* Seattle, Washington, USA - November 6, 2018

Published: 15 January 2019 Publication History

Abstract

Driven by technological advances in hardware (positioning systems, environmental sensors), software (standards, tools, network services), and aided by various open movements (open, linked, government data) and the ever-growing mentality of sharing for the greater good (crowdsourcing, crowdfunding, collaborative and volunteered geographic information), the amount of available geo-referenced data has seen dramatic explosion over the past few years. Human activities generate data and traces that are now often transparently annotated with location and contextual information. At the same time, it has become easier than ever to collect and combine rich and diverse information about locations. Exploiting this torrent of geo-referenced data provides a tremendous potential to materially improve existing and offer novel types of recommendation services, with clear benefits in many domains, including social networks, marketing, and tourism.

References

[1]
K. Banweer, A. Graham, J. Ripberger, N. Cesare, E. Nsoesie, and C. Grant. Multi-stage collaborative filtering for tweet geolocation. In Proceedings of the 2nd ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks, LocalRec'18, pages 4:1--1--:4. ACM, 2018.
[2]
M. Debnath, P. K. Tripathi, A. K. Biswas, and R. Elmasri. Preference aware travel route recommendation with temporal influence. In Proceedings of the 2nd ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks, LocalRec'18, pages 2:1--2:9. ACM, 2018.
[3]
Y. Kang, S. Gao, and Y. Liang. Utilizing reverse viewshed analysis in image geo-localization. In Proceedings of the 2nd ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks, LocalRec'18, pages 6:1--6:5. ACM, 2018.
[4]
E. Oliveira, I. R. Brilhante, and J. A. F. de Macedo. Trajectme: Planning sightseeing tours with hotel selection from trajectory data. In Proceedings of the 2nd ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks, LocalRec'18, pages 1:1--1:10. ACM, 2018.
[5]
A. C. Pesara, V. Patil, and P. K. Atrey. Secure computing of gps trajectory similarity: A review. In Proceedings of the 2nd ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks, LocalRec'18, pages 3:1--3:7. ACM, 2018.
[6]
S. Ray and B. G. Nickerson. Improving parallel performance of temporally relevant top-k spatial keyword search. In Proceedings of the 2nd ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks, LocalRec'18, pages 5:1--5:4. ACM, 2018.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image SIGSPATIAL Special
SIGSPATIAL Special  Volume 10, Issue 3
November 2018
28 pages
EISSN:1946-7729
DOI:10.1145/3307599
Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 January 2019
Published in SIGSPATIAL Volume 10, Issue 3

Check for updates

Qualifiers

  • Research-article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 59
    Total Downloads
  • Downloads (Last 12 months)1
  • Downloads (Last 6 weeks)0
Reflects downloads up to 05 Mar 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media