An Optimal Travel Route Recommendation System for Tourists’ First Visit to Japan

Yuan, Chen; Uehara, Masato

doi:10.1007/978-3-030-15032-7_73

Cited by 5 publications

(6 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [28], the Adaptive large neighborhood search method [29] was used to address the RP problem helping tourists to find shopping locations for agricultural products. In [30], the cosine similarity algorithm was adopted for providing sightseeing routes of high cultural interest in Japan. In [31], a 3-stage framework targets on satisfying user preferences for visiting selected POI by generating an optimal personalized route.…”

Section: Related Work For Route Planning Modelingmentioning

confidence: 99%

See 1 more Smart Citation

A route planning framework for smart wearable assistive navigation systems

Ntakolia

Iakovidis

2021

SN Appl. Sci.

View full text Add to dashboard Cite

Route planning (RP) enables individuals to navigate in unfamiliar environments. Current RP methodologies generate routes that optimize criteria relevant to the traveling distance or time, whereas most of them do not consider personal preferences or needs. Also, most of the current smart wearable assistive navigation systems offer limited support to individuals with disabilities by providing obstacle avoidance instructions, but often neglecting their special requirements with respect to the route quality. Motivated by the mobility needs of such individuals, this study proposes a novel RP framework for assistive navigation that copes these open issues. The framework is based on a novel mixed 0–1 integer nonlinear programming model for solving the RP problem with constraints originating from the needs of individuals with disabilities; unlike previous models, it minimizes: (1) the collision risk with obstacles within a path by prioritizing the safer paths; (2) the walking time; (3) the number of turns by constructing smooth paths, and (4) the loss of cultural interest by penalizing multiple crossovers of the same paths, while satisfying user preferences, such as points of interest to visit and a desired tour duration. The proposed framework is applied for the development of a system module for safe navigation of visually impaired individuals (VIIs) in outdoor cultural spaces. The module is evaluated in a variety of navigation scenarios with different parameters. The results demonstrate the comparative advantage of our RP model over relevant state-of-the-art models, by generating safer and more convenient routes for the VIIs.

show abstract

Section: Related Work For Route Planning Modelingmentioning

confidence: 99%

“…Route recommendations are made based on travel time [30] A graph-based model with prefixed routes Cosine similarity algorithm…”

Section: Minimum Cost Hamiltonian Cycle Algorithmmentioning

confidence: 99%

A route planning framework for smart wearable assistive navigation systems

Ntakolia

Iakovidis

2021

SN Appl. Sci.

View full text Add to dashboard Cite

show abstract

“…With the preceding studies mentioned above as references, Yamamoto [21] and Abe et al [22] assumed the utilization in Japanese urban tourist areas and developed a sightseeing spot recommendation system using non-linguistic information. Yuan et al [23] proposed a travel route recommendation system for foreign tourists who visit Japan for the first time, considering the specific characteristics of Japanese urban tourist areas.…”

Section: Related Workmentioning

confidence: 99%

A Sightseeing Spot Recommendation System for Urban Smart Tourism Based on Users’ Priority Conditions

Mukasa¹,

Yamamoto²

2019

JCEA

View full text Add to dashboard Cite

The present study aimed to design, develop, operate and evaluate a sightseeing spot recommendation system as a smart tourism tool that gathers and accumulates sightseeing spot information and considers personal preferences as well as priority conditions to support tourism activities, especially in urban tourist areas. The system was developed by integrating web-geographic information systems (Web-GIS), the recommendation system and the evaluation system. Additionally, the system was operated for 4 weeks in the central part of Yokohama City in Kanagawa Prefecture, Japan, and the total number of users was 62. Based on the results of the web questionnaire survey, the system was highly useful for sightseeing activities, and further utilization of each function can be expected by continuing the operation. From the results of access analysis of users' log data, it is evident that the system has been used by different types of information terminals just as it was designed for, and that the system has been used according to the purpose of the present study, which is to support the sightseeing activities of users. However, the number of visits to pages related to the evaluation function of sightseeing spots and submitting function of new sightseeing spot information was low. This may improve if the system operation is conducted on a long-term basis.

show abstract

“…Several researchers have addressed the challenge of sparse data in collaborative filtering by proposing nonlinear similarity models that consider both user asymmetry and item similarity. Meanwhile, an enhanced method that incorporates trust relationships and user characteristics aims to tackle the issue of erroneously selecting nearest neighbors, with the goal of increasing recommendation precision [10][11][12][13]. To achieve this, some researchers advocate the use of a single rating scale for all users, adding a balance factor to refine cosine similarity calculation and improve user similarity accuracy.…”

Section: Introductionmentioning

confidence: 99%

Intelligent recommendation method of intelligent tourism scenic spot route based on collaborative filtering

2024

KSII TIIS

View full text Add to dashboard Cite

An Optimal Travel Route Recommendation System for Tourists’ First Visit to Japan

Cited by 5 publications

References 2 publications

A route planning framework for smart wearable assistive navigation systems

A route planning framework for smart wearable assistive navigation systems

A Sightseeing Spot Recommendation System for Urban Smart Tourism Based on Users’ Priority Conditions

Intelligent recommendation method of intelligent tourism scenic spot route based on collaborative filtering

Contact Info

Product

Resources

About