Conference paper, 2022

An Emerging Conceptual Model for Curating Engaging Leisure Walking Recommendations

Proceedings of the 17th International Conference on Location Based Services (LBS 2022), pages 1-3

Abstract

Providing routes to leisure walkers requires alternative recommendation scenarios to those used in tourism routing systems. In this paper, we present an emerging conceptual model of three scenarios for curating leisure walking route recommendations. Our recommendation scenarios consider the highest ranked similar walks, routes for new application users, and a progressively changing route recommendation scenario. Conceptual models for these scenarios are presented and the challenges in completing this research are considered. Feedback received on these early conceptual models will be used to further design a recommendation framework for curating engaging leisure walking experiences.

Leisure WalkingLocation Based ServicesRoute RecommendationMobile Geospatial Computing

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Reference

Williams, J., Pinchin, J., Hazzard, A., Priestnall, G., Cavazzi, S. & Ballatore, A. (2022). An Emerging Conceptual Model for Curating Engaging Leisure Walking Recommendations. Proceedings of the 17th International Conference on Location Based Services (LBS 2022), 1-3.

BibTeX
@inproceedings{Williams2022b,
  address      = {Munich, Germany},
  title        = {An Emerging Conceptual Model for Curating Engaging Leisure Walking Recommendations},
  booktitle    = {Proceedings of the 17th International Conference on Location Based Services (LBS 2022)},
  author       = {Williams, James and Pinchin, James and Hazzard, Adrian and Priestnall, Gary and Cavazzi, Stefano and Ballatore, Andrea},
  year         = {2022},
  url          = {/assets/papers/Williams2022b.pdf},
  pages        = {1-3},
  abstract     = {Providing routes to leisure walkers requires alternative recommendation scenarios to those used in tourism routing systems. In this paper, we present an emerging conceptual model of three scenarios for curating leisure walking route recommendations. Our recommendation scenarios consider the highest ranked similar walks, routes for new application users, and a progressively changing route recommendation scenario. Conceptual models for these scenarios are presented and the challenges in completing this research are considered. Feedback received on these early conceptual models will be used to further design a recommendation framework for curating engaging leisure walking experiences.},
  keywords     = {Leisure Walking; Location Based Services; Route Recommendation; Mobile Geospatial Computing}
}

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