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What Drives "Group Roaming"? A Study on the Pathway of "Digital Persuasion" in Media-Constructed Landscapes Behind Chinese Conformist Travel. [PDF]
Behav Sci (Basel)Zhang C, Jin D, Li J.
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Personalized bundle recommendation using preference elicitation and the Choquet integral. [PDF]
Front Artif IntellRobbi E +3 more
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Social itinerary recommendation from user-generated digital trails
Personal and Ubiquitous Computing, 2011Planning travel to unfamiliar regions is a difficult task for novice travelers. The burden can be eased if the resident of the area offers to help. In this paper, we propose a social itinerary recommendation by learning from multiple user-generated digital trails, such as GPS trajectories of residents and travel experts.
Yoon, H Yoon, Hyoseok +3 more
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Evaluating an Itinerary Recommendation Algorithm for Runners
Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, 2021Recommender systems for runners primarily rely on existing running traces in an area. In the absence of running traces, recommending running routes is challenging. This paper describes our approach to generating and proposing ”pleasant” running tours that consider the runner’s standard preferences and their distance and elevation constraints.
Shreepriya Shreepriya +3 more
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Proceedings of the 5th Information Interaction in Context Symposium, 2014
Itinerary recommenders provide tourists with personalized routes connecting several Points of Interest (POIs). Therefore transit times and users' preferences have to be considered to generate optimal plans. Nevertheless users might appreciate routes being customised to their liking, e.g.
Richard Schaller, David Elsweiler
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Itinerary recommenders provide tourists with personalized routes connecting several Points of Interest (POIs). Therefore transit times and users' preferences have to be considered to generate optimal plans. Nevertheless users might appreciate routes being customised to their liking, e.g.
Richard Schaller, David Elsweiler
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MULTITOUR: A multiple itinerary tourists recommendation engine
Electronic Commerce Research and Applications, 2020Abstract The importance of tourism in today’s world is immense as it is a big source of revenue and employment generation for a country. Tourists face a variety of challenges during planning of their itinerary as well as in the selection of appropriate tour packages which consist of multiple itineraries in terms of their interests and different ...
Joy Lal Sarkar +3 more
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Self-supervised contrastive learning for itinerary recommendation
Expert Systems with ApplicationsLei Chen, Guixiang Zhu
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Attentive multi-task learning for group itinerary recommendation
Knowledge and Information Systems, 2021Tourism is one of the largest service industries and a popular leisure activity participated by people with friends or family. A significant problem faced by the tourists is how to plan sequences of points of interest (POIs) that maintain a balance between the group preferences and the given temporal and spatial constraints.
Lei Chen +5 more
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Exploiting semantics for context-aware itinerary recommendation
Personal and Ubiquitous Computing, 2019Itinerary planning is a challenging task for users wishing to enjoy points of interest (POIs) in line with their preferences, the current context of use, and travel constraints. This article describes an approach to exploit linked open data (LOD) to perform a context-aware recommendation of personalized itineraries with related multimedia content.
Alessandro Fogli, Giuseppe Sansonetti
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