CT-Planner2: More Flexible and Interactive Assistance for Day Tour Planning

Kurata, Yohei

doi:10.1007/978-3-7091-0503-0_3

Cited by 18 publications

(9 citation statements)

References 14 publications

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“…It has been stated that "web based decision support applications are excellent aids for tourists who want real support for tourist planning problems" [40]. This so-called "touristic trip planning problem" [41] has been addressed in the last decade by several authors in scientific research papers [40][41][42][43][44][45][46][47][48][49][50], proposing the creation of decision support systems for tourists, both web-based and mobile, generally called "trip planners". These instruments mainly serve to tailor a trip according to the specific needs and interests of a tourist/group of tourists and usually produce trip plans or trip maps.…”

Section: Development Of a Decision Support System Based On An Umbrellmentioning

confidence: 99%

Raising Competitiveness for Tourist Destinations through Information Technologies within the Newest Tourism Action Framework Proposed by the European Commission

Iunius¹,

Cismaru

Foriş

2015

Sustainability

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Several challenges regarding the European tourism industry were recently identified at EU level which the experts of the European Commission tried to meet, thus formulating several priorities within the newest Tourism Action Framework: Stimulate long-term competitiveness in the European tourism sector, promote the development of sustainable and high-quality tourism, and consolidate the image and promotion of European tourist destinations. Due to the new generational context, information and communications technology ICT and innovation became keywords within the most recent European Tourism Policy. Considering the symbiotic relationship that exists at the European tourism level between sustainable development, innovative ICT solutions, and long-term competitiveness, the decision-makers in European destinations should focus on identifying innovative ways to implement the new Tourism Action Framework adopted by the European Commission, through ICT applications, in order to support long-term competitiveness achievement. Two such authentic proposals are formulated within the present discussion paper: the creation of a decision support system for the management of sustainable European destinations and the development of a trip-planner for quality-sensitive tourists based on an umbrella European certification/labeling system for tourism quality. There is still a fertile field in these areas and, therefore, more innovative ICT tools to support the long-term competitiveness of European tourist destinations can be developed. OPEN ACCESSSustainability 2015, 7 12892

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Section: Development Of a Decision Support System Based On An Umbrellmentioning

confidence: 99%

Raising Competitiveness for Tourist Destinations through Information Technologies within the Newest Tourism Action Framework Proposed by the European Commission

Iunius¹,

Cismaru

Foriş

2015

Sustainability

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“…With the development of computer vision technology, an image feature-enhanced tour recommendation method was proposed in [15], to find POIs that are visually similar to users' uploaded images. Preferences can be manually selected in [16], [17]; the authors developed an interactive web system in which users can manually decide travel preferences. A feature-centric matrix factorization model was applied in [18].…”

Section: Tour Recommendationmentioning

confidence: 99%

“…For the training strategy, we minimize the objective functions Eq. (13), (15), (17), and (18) with a gradient descent approach by iteratively optimizing the latent variables V s , V t , M, V g , and V e ; this is supported by the Theano framework.…”

Section: Optimization and Latent Variable Learningmentioning

confidence: 99%

User Transition Pattern Analysis for Travel Route Recommendation

Sun

Zhuang

2019

IEICE Trans. Inf. & Syst.

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A travel route recommendation service that recommends a sequence of points of interest for tourists traveling in an unfamiliar city is a very useful tool in the field of location-based social networks. Although there are many web services and mobile applications that can help tourists to plan their trips by providing information about sightseeing attractions, travel route recommendation services are still not widely applied. One reason could be that most of the previous studies that addressed this task were based on the orienteering problem model, which mainly focuses on the estimation of a user-location relation (for example, a user preference). This assumes that a user receives a reward by visiting a point of interest and the travel route is recommended by maximizing the total rewards from visiting those locations. However, a location-location relation, which we introduce as a transition pattern in this paper, implies useful information such as visiting order and can help to improve the quality of travel route recommendations. To this end, we propose a travel route recommendation method by combining location and transition knowledge, which assigns rewards for both locations and transitions.

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“…CT-Planner [4] uses a content-based recommender to calculate scores for all POIs. To obtain a user profile, the user can specify his interests directly or indirectly via choosing between different routes.…”

Section: Related Workmentioning

confidence: 99%

Mobile tourist guides

Schaller

2014

Proceedings of the 5th Information Interaction in Context Symposium

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We present a mobile tourist guide for planning and conducting sightseeing day trips. Users are provided different means to access and select the available sights, events and other points of interest (POIs): Via a hybrid recommender system, via browsing by sight category, via searching over descriptions of POIs or via browsing on a map. Based on user's selection a route planner for time-constrained activities generates route suggestions taking additional constraints for public transport connections into account.A novelty of the implemented approach compared to existing solutions for tourists is that the user retains full control over the tour by diverse interaction possibilities: Before route generation different means for selecting POIs are provided, during route generation multiple route variants are suggested and after route generation users are able to directly edit any detail at any time, even if there are existing constraints that hinder the direct execution of an edit operation. Moreover, recommender, planner and editing are closely interconnected: Recommendations are used by the planner to fill-up unavoidable gaps. This may also be initiated manually during editing where also parts of the planner are involved to permit only those edits that keep the route feasible. The app is currently tailored to the city of Nuremberg but can be extended for other cities as well.

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CT-Planner2: More Flexible and Interactive Assistance for Day Tour Planning

Cited by 18 publications

References 14 publications

Raising Competitiveness for Tourist Destinations through Information Technologies within the Newest Tourism Action Framework Proposed by the European Commission

Raising Competitiveness for Tourist Destinations through Information Technologies within the Newest Tourism Action Framework Proposed by the European Commission

User Transition Pattern Analysis for Travel Route Recommendation

Mobile tourist guides

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