6. Tourist trip recommendations – foundations, state of the art, and challenges
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Daniel Herzog
Abstract
Tourist Trip Design Problems (TTDPs) deal with the task to support tourists in creating a trip composed of a set or sequence of points of interests (POIs) or other items related to travel. This is a challenging problem for personalized recommender systems (RSs), because it is not only needed to discover interesting POIs matching the preferences and interests, but also to combine these destinations to a practical route. In this chapter, we present the TTDP and show how it can be modeled using different mathematical problems. We present trip RSs with a focus on recommendation techniques, data analysis, and user interfaces. Finally, we summarize important current and future challenges that research in the field of tourist trip recommendations faces today. The chapter concludes with a short summary.
Abstract
Tourist Trip Design Problems (TTDPs) deal with the task to support tourists in creating a trip composed of a set or sequence of points of interests (POIs) or other items related to travel. This is a challenging problem for personalized recommender systems (RSs), because it is not only needed to discover interesting POIs matching the preferences and interests, but also to combine these destinations to a practical route. In this chapter, we present the TTDP and show how it can be modeled using different mathematical problems. We present trip RSs with a focus on recommendation techniques, data analysis, and user interfaces. Finally, we summarize important current and future challenges that research in the field of tourist trip recommendations faces today. The chapter concludes with a short summary.
Chapters in this book
- Frontmatter I
- Introduction V
- Contents IX
- List of Contributing Authors XI
-
Part I: Foundations of user modeling
- 1. Theory-grounded user modeling for personalized HCI 1
- 2. Opportunities and challenges of utilizing personality traits for personalization in HCI 31
-
Part II: User input and feedback
- 3. Automated personalization of input methods and processes 67
- 4. How to use socio-emotional signals for adaptive training 103
- 5. Explanations and user control in recommender systems 133
-
Part III: Personalization approaches
- 6. Tourist trip recommendations – foundations, state of the art, and challenges 159
- 7. Pictures as a tool for matching tourist preferences with destinations 183
- 8. Towards personalized virtual reality touring through cross-object user interfaces 201
- 9. User awareness in music recommender systems 223
- 10. Personalizing the user interface for people with disabilities 253
- 11. Adaptive workplace learning assistance 283
- Index 303
Chapters in this book
- Frontmatter I
- Introduction V
- Contents IX
- List of Contributing Authors XI
-
Part I: Foundations of user modeling
- 1. Theory-grounded user modeling for personalized HCI 1
- 2. Opportunities and challenges of utilizing personality traits for personalization in HCI 31
-
Part II: User input and feedback
- 3. Automated personalization of input methods and processes 67
- 4. How to use socio-emotional signals for adaptive training 103
- 5. Explanations and user control in recommender systems 133
-
Part III: Personalization approaches
- 6. Tourist trip recommendations – foundations, state of the art, and challenges 159
- 7. Pictures as a tool for matching tourist preferences with destinations 183
- 8. Towards personalized virtual reality touring through cross-object user interfaces 201
- 9. User awareness in music recommender systems 223
- 10. Personalizing the user interface for people with disabilities 253
- 11. Adaptive workplace learning assistance 283
- Index 303
