A Personalised Recommender System for Tourists on City Trips: Concepts and Implementation

Aksenov, Petr; Kemperman, Astrid; Arentze, TA Theo

doi:10.1007/978-3-319-39345-2_46

Cited by 7 publications

(5 citation statements)

References 9 publications

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“…The stated choice approach is proven to be effective in a variety of studies and research fields (e.g. Aksenov, Kemperman, & Arentze, 2016) and another advantage is that it is possible to study preferences for not yet existing or not available alternatives in real offices.…”

Section: Data Collectionmentioning

confidence: 99%

Knowledge workers’ stated preferences for important characteristics of activity-based workspaces

Berg

Appel‐Meulenbroek

Kemperman

et al. 2020

Building Research & Information

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It is important for organizations to support employees with suitable workspaces during different activities. Increasingly the activity-based office is seen as the optimal solution, as it provides people with choice between different types of workspaces to perform specific activities. This study addresses the trade-offs knowledge workers make when choosing a workspace for performing three different categories of activities (individual concentration work, informal interactions, and formal interactions). A stated choice experiment was performed through a questionnaire among 251 Dutch knowledge workers in 14 organizations, measuring preferences for hypothetical workspaces described by their six most relevant aspects. Multinomial logit models were estimated to identify the workspace preferences during each activity. Additionally, Latent class models were estimated to find possible segments of workers with specific preferences that need to be supported differently by workplace managers. Findings showed that preferences for psychosocial design aspects (noise, workspace enclosure and control) were more important for workspace selection than indoor environmental quality aspects. They also show more differences between specific activities. Also, not everybody finds full enclosure important for individual concentrated work, and relatively older employees appear to be more critical about workspace suitability to support both formal and informal interaction.

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Section: Data Collectionmentioning

confidence: 99%

Knowledge workers’ stated preferences for important characteristics of activity-based workspaces

Berg

Appel‐Meulenbroek

Kemperman

et al. 2020

Building Research & Information

Self Cite

View full text Add to dashboard Cite

show abstract

“…Web applications for trip planning were already being employed when recommender systems began to be used in tourism [54], and recommender solutions are now being used in trip planning [58]. However, recommender solutions can generally be used in all types of tourism, including urban tourism [59] and cultural tourism [60], and in every phase of the trip, with the tourists' need for a personalized service (e.g., transport, attractions) being high [61]. However, efficient tourist recommender systems have to consider the context they are being applied to, and should be designed accordingly.…”

Section: Recommender Solutions For Tourist Destinations and Digital V...mentioning

confidence: 99%

The INPReS Intervention Escalation Framework for Avoiding Overcrowding in Tourism Destinations

Schmücker

Reif

Horster

et al. 2023

Tourism and Hospitality

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Visitor management is one way to avoid or mitigate the negative effects of overcrowding in tourism destinations. Visitor management depends upon a set of interventions aimed at guiding visitors and recommending alternatives. Here, we present a conceptual framework of such interventions using an escalation from information, nudging, pricing, and reservation to stoppage (INPReS). The interventions are discussed against the backdrop of the changing role of destination management organisations (DMOs) in smart destinations, the challenges to DMO stewardship in avoiding overcrowding, and the design considerations between nudging and persuasion.

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“…An extension of the aforementioned systems are RS that recommend paths or travel routes; in this case, the route is modelled as a sequence of spatially correlated POIs to be visited in a pre-defined order. Again, the route may involve a broad geographical area of POIs that are many kilometers apart, locations within a city [25] or even exhibits within a constrained heritage space (museum, cultural site) [26]. Apart from proposing spatially correlated POIs that are of interest to their users, path RS are also usually bounded by the route itself; in total duration and/or distance.…”

Section: Literature Reviewmentioning

confidence: 99%

A Personalized Heritage-Oriented Recommender System Based on Extended Cultural Tourist Typologies

Konstantakis

Alexandridis

2020

BDCC

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Recent developments in digital technologies regarding the cultural heritage domain have driven technological trends in comfortable and convenient traveling, by offering interactive and personalized user experiences. The emergence of big data analytics, recommendation systems and personalization techniques have created a smart research field, augmenting cultural heritage visitor’s experience. In this work, a novel, hybrid recommender system for cultural places is proposed, that combines user preference with cultural tourist typologies. Starting with the McKercher typology as a user classification research base, which extracts five categories of heritage tourists out of two variables (cultural centrality and depth of user experience) and using a questionnaire, an enriched cultural tourist typology is developed, where three additional variables governing cultural visitor types are also proposed (frequency of visits, visiting knowledge and duration of the visit). The extracted categories per user are fused in a robust collaborative filtering, matrix factorization-based recommendation algorithm as extra user features. The obtained results on reference data collected from eight cities exhibit an improvement in system performance, thereby indicating the robustness of the presented approach.

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A Personalised Recommender System for Tourists on City Trips: Concepts and Implementation

Cited by 7 publications

References 9 publications

Knowledge workers’ stated preferences for important characteristics of activity-based workspaces

Knowledge workers’ stated preferences for important characteristics of activity-based workspaces

The INPReS Intervention Escalation Framework for Avoiding Overcrowding in Tourism Destinations

A Personalized Heritage-Oriented Recommender System Based on Extended Cultural Tourist Typologies

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