Dawei Chen
Iman Avazpour
John Grundy
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.
- Dawei Chen, Cheng Soon Ong, and Lexing Xie. 2016. Learning Points and Routes to Recommend Trajectories. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. ACM, 2227--2232. Google Scholar
Digital Library
- Dawei Chen, Lexing Xie, Aditya Krishna Menon, and Cheng Soon Ong. 2017. Structured Recommendation. CoRR abs/1706.09067 (2017). https:arxiv.org/abs/1706.09067Google Scholar
- FAT/ML. 2017. Fairness, Accountability, and Transparency in Machine Learning. (2017). http://www.fatml.org, retrieved May 2017.Google Scholar
- Samuel Gratzl, Alexander Lex, Nils Gehlenborg, Hanspeter Pfister, and Marc Streit. 2013. Lineup: Visual analysis of multi-attribute rankings. IEEE transactions on visualization and computer graphics 19, 12 (2013), 2277--2286. Google ScholarDigital Library
- Thorsten Joachims, Thomas Hofmann, Yisong Yue, and Chun-Nam Yu. 2009. Predicting structured objects with support vector machines. Commun. ACM 52, 11 (2009), 97--104. Google ScholarDigital Library
- Yehuda Koren, Robert Bell, and Chris Volinsky. 2009. Matrix factorization techniques for recommender systems. Computer 42, 8 (2009). Google ScholarDigital Library
- Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, and Shanika Karunasekera. 2015. Personalized tour recommendation based on user interests and points of interest visit durations (IJCAI '15).Google Scholar
Index Terms
- PathRec: Visual Analysis of Travel Route Recommendations
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