Recommendation system for tourist attraction information service

The paper proposes a description of information decision support system in the tourism domain and a set of methods and algorithms for generating recommendations for a user that allow significant increase of the system usability. The system generates for the user recommendations which attractions at the moment are better to attend based on the user preferences and the current situation in the location area. The system also allows showing the user information about interesting attraction in more detail, which is based on analyzing information evaluations made by other users

Hybrid group recommendations for a travel service

Recommendation techniques have proven their usefulness as a tool to cope with the information overload problem in many classical domains such as movies, books, and music. Additional challenges for recommender systems emerge in the domain of tourism such as acquiring metadata and feedback, the sparsity of the rating matrix, user constraints, and the fact that traveling is often a group activity. This paper proposes a recommender system that offers personalized recommendations for travel destinations to individuals and groups. These recommendations are based on the users' rating profile, personal interests, and specific demands for their next destination. The recommendation algorithm is a hybrid approach combining a content-based, collaborative filtering, and knowledge-based solution. For groups of users, such as families or friends, individual recommendations are aggregated into group recommendations, with an additional opportunity for users to give feedback on these group recommendations. A group of test users evaluated the recommender system using a prototype web application. The results prove the usefulness of individual and group recommendations and show that users prefer the hybrid algorithm over each individual technique. This paper demonstrates the added value of various recommendation algorithms in terms of different quality aspects, compared to an unpersonalized list of the most-popular destinations

Advanced recommendations in a mobile tourist information system

An advanced tourist information provider system delivers information regarding sights and events on their users' travel route. In order to give sophisticated personalized information about tourist attractions to their users, the system is required to consider base data which are user preferences defined in their user profiles, user context, sights context, user travel history as well as their feedback given to the sighs they have visited. In addition to sights information, recommendation on sights to the user could also be provided. This project concentrates on combinations of knowledge on recommendation systems and base information given by the users to build a recommendation component in the Tourist Information Provider or TIP system. To accomplish our goal, we not only examine several tourist information systems but also conduct the investigation on recommendation systems. We propose a number of approaches for advanced recommendation models in a tourist information system and select a subset of these for implementation to prove the concept

Focussed palmtop information access combining starfield displays and profile-based recommendations

This paper presents two palmtop applications: Taeneb CityGuide and Taeneb ConferenceGuide. Both applications are centred around Starfield displays on palmtop computers - this provides fast, dynamic access to information on a small platform. The paper describes the applications focussing on this novel palmtop information access method and on the user-profiling aspect of the CityGuide, where restaurants are recommended to users based on both the match of restaurant type to the users' observed previous interactions and the rating given by reviewers with similar observed preferences

Travel recommendations in a mobile tourist information system

An advanced mobile tourist information system delivers information about sights and events on a tourists travel route. The system should be personalized in its interaction with the tourist. Data that can be used for personalization are: the tourists interest profile, an analysis of their travel history, and the tourists feedback about sights. Existing mobile information systems for tourists do not tailor their information delivery to the tourists interests. In this paper, we propose the use of personalised recommendations that consider all of the personal information a tourist provides. We adopt and modify techniques from recommended systems to the new application area of mobile tourist information. We propose a number of methods for personalised recommendations; and select a subset of these for implementation. This paper then presents the implemented recommended component of our TIP system for mobile tourist informatio

Design and development of Taeneb City Guide - from paper maps and guidebooks to electronic guides

This paper reports the design, development and feedback from the initial trial of the Taeneb City Guide project developing tourist information software on Personal Digital Assistant (PDA) handheld computers. Based on the users' requirements for electronic tourists guides already published in the literature, the paper focuses on the three main technology features of the systems, which would give the advantage over the existing paper publication: query-able dynamic map interface, dynamic information content and community review systems and users' forum. The paper also reports the results of an initial trial of a City Guide for Glasgow conducted as part of the EMAC 03 conference

Examining the trip experience on competitive advantage creation in tourism

Researchers thanked for the support by Directorate of Research and Community Service. Directorate General of Strengthening Research and Development. Ministry of Research, Technology, and Higher Education of Indonesia for the funding in year 2019.Purpose: This study aims to examine the trip experience on competitive advantage creation in Indonesia tourism. Trip experience includes transportation, accommodation, tour guide, and tourism activities. Design/Methodology/Approach: The research population consists of all international tourists who visited Indonesia through Soekarno Hatta International Airport (Jakarta) and Ngurah Rai International Airport (Bali). The questionnaire was constructed in English and translated into Arabic and Mandarin. Convenience sampling techniques were used to collect data. Out of 500 questionnaires distributed, only 415 were valid and used for analysis. Partial Least Square by SMART-PLS 3.0 software was used for data analysis. Findings: Result shows that transportation, accommodation and tourist activities are positively significant factors on tourist loyalty and mediated by tourist satisfaction. Whereas, tour guides have positively but not significant influence on tourist loyalty and mediated by tourist satisfaction. Practical implications: The study provides a practical implication which requires a close relationship of state governments and tourism companies in order to have good cooperative and coordination to competitive advantage creation. Originality/Value: As this study is based on recent studies on tourism destination in competitive advantage creation it brings a new insight of analyzing the two cities of highest tourists visits in order to understand the condition of overall Indonesian tourism.peer-reviewe

Theme Park Routing: A Decision Support System for Walt Disney World Trips

With over 52 million visitors annually, the Walt Disney World theme park is one of the busiest places on earth (US City Traveler, 2015). While some of these visitors are regular attendees, most are creating new memories in unfamiliar territory. To assist these novice theme park visitors, a plethora of reference books, blogs, tour guides and other resources exist. These recommend which attractions to visit and their popularity. What these resources do not provide, however, is the optimal order that these attractions should be visited