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invited-talk

Utilizing location-based social media for trip mining and recommendation

Published: 01 November 2022 Publication History

Abstract

Wolfgang Wörndl has given an invited talk at the 6th ACM SIGSPATIAL Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising (LocalRec) on November 1, 2022. This paper provides a summary of the topics addressed.

References

[1]
Linus W Dietz, Avradip Sen, Rinita Roy, and Wolfgang Wörndl. 2020. Mining trips from location-based social networks for clustering travelers and destinations. Information Technology & Tourism 22, 1 (2020), 131--166.
[2]
Daniel Herzog, Linus W Dietz, and Wolfgang Wörndl. 2019. Tourist trip recommendations---foundations, state of the art and challenges. Personalized Human-Computer Interaction 6 (2019), 159--182.
[3]
Daniel Herzog and Wolfgang Wörndl. 2019. User-centered evaluation of strategies for recommending sequences of points of interest to groups. In Proceedings of the 13th ACM Conference on Recommender Systems. 96--100.
[4]
Wolfgang Wörndl, Alexander Hefele, and Daniel Herzog. 2017. Recommending a sequence of interesting places for tourist trips. Information Technology & Tourism 17, 1 (2017), 31--54.

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  • (2023)LocalRec 2022 Workshop Report: The Sixth ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising Seattle, Washington, USA, November 1, 2022SIGSPATIAL Special10.1145/3632268.363227414:1(19-22)Online publication date: 7-Nov-2023

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  1. Utilizing location-based social media for trip mining and recommendation

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      cover image ACM Conferences
      LocalRec '22: Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising
      November 2022
      47 pages
      ISBN:9781450395403
      DOI:10.1145/3557992
      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 01 November 2022

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      Author Tags

      1. location-based recommendation
      2. recommender systems
      3. social media

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      • Invited-talk

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      SIGSPATIAL '22
      Sponsor:

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      Overall Acceptance Rate 17 of 26 submissions, 65%

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      • (2023)LocalRec 2022 Workshop Report: The Sixth ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising Seattle, Washington, USA, November 1, 2022SIGSPATIAL Special10.1145/3632268.363227414:1(19-22)Online publication date: 7-Nov-2023

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