12 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
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Part I: Foundations of personalization
- 1 Theory-grounded user modeling for personalized HCI 1
- 2 User-centered recommender systems 33
- 3 Fairness of information access systems 59
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Part II: User input and feedback
- 4 Personalization and user modeling for interaction processes 81
- 5 How to use socio-emotional signals for adaptive training 99
- 6 Explanations and user control in recommender systems 129
- 7 Feedback loops and mutual reinforcement in personalized interaction 153
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Part III: Personalization purposes and goals
- 8 Personalizing the user interface for people with disabilities 175
- 9 Personalized persuasion for behavior change 205
- 10 Personalization approaches for remote collaborative interaction 237
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Part IV: Personalization domains
- 11 Listener awareness in music recommender systems: directions and current trends 279
- 12 Tourist trip recommendations – foundations, state of the art and challenges 313
- 13 Pictures as a tool for matching tourist preferences with destinations 337
- Index 355
Chapters in this book
- Frontmatter I
- Introduction V
- Contents IX
- List of Contributing Authors XI
-
Part I: Foundations of personalization
- 1 Theory-grounded user modeling for personalized HCI 1
- 2 User-centered recommender systems 33
- 3 Fairness of information access systems 59
-
Part II: User input and feedback
- 4 Personalization and user modeling for interaction processes 81
- 5 How to use socio-emotional signals for adaptive training 99
- 6 Explanations and user control in recommender systems 129
- 7 Feedback loops and mutual reinforcement in personalized interaction 153
-
Part III: Personalization purposes and goals
- 8 Personalizing the user interface for people with disabilities 175
- 9 Personalized persuasion for behavior change 205
- 10 Personalization approaches for remote collaborative interaction 237
-
Part IV: Personalization domains
- 11 Listener awareness in music recommender systems: directions and current trends 279
- 12 Tourist trip recommendations – foundations, state of the art and challenges 313
- 13 Pictures as a tool for matching tourist preferences with destinations 337
- Index 355
