demonstration

PathRec: Visual Analysis of Travel Route Recommendations

Authors:

Aditya Krishna Menon,

Cheng Soon Ong,

Iman Avazpour,

John GrundyAuthors Info & Claims

RecSys '17: Proceedings of the Eleventh ACM Conference on Recommender Systems

Pages 364 - 365

https://doi.org/10.1145/3109859.3109983

Published: 27 August 2017 Publication History

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Abstract

We present an interactive visualisation tool for recommending travel trajectories. This system is based on new machine learning formulations and algorithms for the sequence recommendation problem. The system starts from a map-based overview, taking an interactive query as starting point. It then breaks down contributions from different geographical and user behavior features, and those from individual points-of-interest versus pairs of consecutive points on a route. The system also supports detailed quantitative interrogation by comparing a large number of features for multiple points. Effective trajectory visualisations can potentially benefit a large cohort of online map users and assist their decision-making. More broadly, the design of this system can inform visualisations of other structured prediction tasks, such as for sequences or trees.

References

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Dawei Chen, Lexing Xie, Aditya Krishna Menon, and Cheng Soon Ong. 2017. Structured Recommendation. CoRR abs/1706.09067 (2017). https:arxiv.org/abs/1706.09067

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Cited By

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Renjith SSreekumar AJathavedan M(2022)An extensive study on the evolution of context-aware personalized travel recommender systemsInformation Processing and Management: an International Journal10.1016/j.ipm.2019.10207857:1Online publication date: 21-Apr-2022
https://dl.acm.org/doi/10.1016/j.ipm.2019.102078
Isoda SHidaka MMatsuda YSuwa HYasumoto K(2020)Timeliness-Aware On-Site Planning Method for Tour NavigationSmart Cities10.3390/smartcities30400663:4(1383-1404)Online publication date: 21-Nov-2020
https://doi.org/10.3390/smartcities3040066
Mizutani MOda THirota M(2020)Extracting Detour Spots Using Skip-gram Model from Geo-tagged Tweets2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech)10.1109/LifeTech48969.2020.1570618986(173-174)Online publication date: Mar-2020
https://doi.org/10.1109/LifeTech48969.2020.1570618986
Show More Cited By

Index Terms

PathRec: Visual Analysis of Travel Route Recommendations
1. Human-centered computing
  1. Visualization
2. Information systems
  1. Information retrieval
    1. Retrieval models and ranking
      1. Learning to rank

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Information & Contributors

Information

Published In

RecSys '17: Proceedings of the Eleventh ACM Conference on Recommender Systems

August 2017

466 pages

ISBN:9781450346528

DOI:10.1145/3109859

General Chairs:
Paolo Cremonesi
Politecnico di Milano, Italy
,
Francesco Ricci
Free University Bozen-Bolzano, Italy
,
Program Chairs:
Shlomo Berkovsky
CSIRO, Australia
,
Alexander Tuzhilin
New York University, USA

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: 27 August 2017

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Author Tags

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Demonstration

Funding Sources

Australian Research Council

Conference

RecSys '17

Sponsor:

SIGCHI

RecSys '17: Eleventh ACM Conference on Recommender Systems

August 27 - 31, 2017

Como, Italy

Acceptance Rates

RecSys '17 Paper Acceptance Rate 26 of 125 submissions, 21%;

Overall Acceptance Rate 254 of 1,295 submissions, 20%

Upcoming Conference

RecSys '24

Sponsor:
sigchi

18th ACM Conference on Recommender Systems

October 14 - 18, 2024

Bari , Italy

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Cited By

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Renjith SSreekumar AJathavedan M(2022)An extensive study on the evolution of context-aware personalized travel recommender systemsInformation Processing and Management: an International Journal10.1016/j.ipm.2019.10207857:1Online publication date: 21-Apr-2022
https://dl.acm.org/doi/10.1016/j.ipm.2019.102078
Isoda SHidaka MMatsuda YSuwa HYasumoto K(2020)Timeliness-Aware On-Site Planning Method for Tour NavigationSmart Cities10.3390/smartcities30400663:4(1383-1404)Online publication date: 21-Nov-2020
https://doi.org/10.3390/smartcities3040066
Mizutani MOda THirota M(2020)Extracting Detour Spots Using Skip-gram Model from Geo-tagged Tweets2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech)10.1109/LifeTech48969.2020.1570618986(173-174)Online publication date: Mar-2020
https://doi.org/10.1109/LifeTech48969.2020.1570618986
Grundy J(2020)Human-centric Software Engineering for Next Generation Cloud- and Edge-based Smart Living Applications2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)10.1109/CCGrid49817.2020.00-93(1-10)Online publication date: May-2020
https://doi.org/10.1109/CCGrid49817.2020.00-93
Frost SMcCalla G(2020)A Planning Algorithm to Support Learning in Open-ended, Unstructured EnvironmentsInternational Journal of Artificial Intelligence in Education10.1007/s40593-020-00221-331:4(847-877)Online publication date: 20-Oct-2020
https://doi.org/10.1007/s40593-020-00221-3
Hirota MOda TEndo MIshikawa HChbeir RManolopoulos YIlarri SPapadopoulos A(2019)Generating Distributed Representation of User Movement for Extracting Detour SpotsProceedings of the 11th International Conference on Management of Digital EcoSystems10.1145/3297662.3365826(250-255)Online publication date: 12-Nov-2019
https://dl.acm.org/doi/10.1145/3297662.3365826
Padia PLim KCha JHarwood A(2019)Sentiment-Aware and Personalized Tour Recommendation2019 IEEE International Conference on Big Data (Big Data)10.1109/BigData47090.2019.9006442(900-909)Online publication date: Dec-2019
https://doi.org/10.1109/BigData47090.2019.9006442

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