Intelligent search in E-Tourism services using Recommendation System: Perfect guide for tourist

Agarwal, Jyoti; Sharma, Neetu; Kumar, Pratik; Parshav, Vishesh; Srivastava, Akshay; Goudar, R. H.

doi:10.1109/isco.2013.6481190

Cited by 9 publications

(5 citation statements)

References 4 publications

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“…Logistic binary regression has been used to investigate the relation between the independent and dependent variables. The method used for regression analysis is Enter; the dependent variable of 'initial adoption' has a value of zero (0) and the 'advanced adoption' has a value of one (1). The hypotheses which investigate the effect of various factors on e-tourism have been examined.…”

Section: Principal Component Analysismentioning

confidence: 99%

“…IT companies can focus on specific technical areas to assist e-tourism initiatives. The understanding of the barriers and motivators will enable them to provide better infrastructure support towards achieving adequate e-tourism adoption and enhance the quality homogeneous, for example, intelligent search for tourism services using recommender systems (Agarwal et al, 2013).…”

Section: Implications To Practice and Policymentioning

confidence: 99%

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Exploration and implication of factors affecting e-tourism adoption in developing countries: a case of Nepal

Lama

Pradhan

Shrestha

2020

Inf Technol Tourism

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E-tourism plays a pivotal role in delivering services to tourists by enhancing travel experiences. While small tourism service providers in the developed economies can efficiently take advantage of e-tourism by partnering with global online platforms such as TripAdvisor or Booking.com, small tourism service providers in developing countries often struggle to reach global markets due to factors that are unique to the country they operate in. The aim of this study, therefore, is to identify the key barriers and motivators of e-tourism adoption for small and medium tourism enterprises (SMTEs) in developing countries. Nepal is selected as the case study due to its enormous tourism potential that is plagued by typical challenges. Based on the 'Technology, Organization and Environment (TOE)' framework and 'e-readiness' model, this study identified ten key factors that affect e-tourism adoption by SMTEs in Nepal. A mixed-method approach, using interviews with seven key stakeholders and a survey with 198 SMTEs, were employed for data collection and validation of the proposed factors. Finally, an e-tourism adoption model highlighting the barriers and motivators for e-tourism by SMTEs is presented. This research found that e-tourism adoption by SMTEs in Nepal is affected by environmental factors related to national infrastructure, market size, country-specific contextual factors and organizational factors comprising e-tourism awareness, ICT resources, value proposition, and top management support. This study offers implications for policy and practice towards effective e-tourism adoption in other developing countries.

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Section: Principal Component Analysismentioning

confidence: 99%

Section: Implications To Practice and Policymentioning

confidence: 99%

Exploration and implication of factors affecting e-tourism adoption in developing countries: a case of Nepal

Lama

Pradhan

Shrestha

2020

Inf Technol Tourism

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“…This paper does not provide an opportunity to dig deeper into the content, but primarily the final idea will centre around intelligent search and information retrieval on the website. Such an intelligent semantic web search platform was not available for this website as the focus was on 3d-printing based information organisation, but future studies should investigate how such search mechanisms could be embedded like what we find in e-commerce, e-tourism websites, using recommendation systems [16].…”

Section: Concept Map 3: Analysing the Entrepreneurial Technicalitiesmentioning

confidence: 99%

Designing a professional e-portfolio to promote 3D printing-based entrepreneurial thinking as a case study: A technical writing project

Takeuchi,

Pamalla,

Roy

2022

SHS Web Conf.

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The purpose of this project is to design a professional e-portfolio in the form of an interactive website that could be potentially accessed by budding entrepreneurs looking to get information to start a 3D-printing based business locally in the Aizu/Fukushima area. 3D printing here is used as a case study to understand how such technical content could be positioned most optimally in a professional context and with maximum impact. This paper outlines a process that leads towards the final design of the website and will focus on the technical writing, design, and usability principles. Adoption of such principles is expected to make the website more interactive and usable in the target situation. This website is geared towards helping anyone who wants to start a new 3D printing business. In this research, we will limit our consideration to help people living in Aizu to revitalise the Aizu area for the 3D printing business. The content in the e-portfolio includes types of 3D printers, 3D printing technologies, sharing of 3D models, with the web design based on various types of concept mapping schemas, faceted search, SWOT analysis, etc. From this information, users can search for and browse what they want towards customising their preferences. Users can also contact the administrator for business consultations and website requests for start-ups. This is a work-in-progress paper, as the design of the e-portfolio has been left at a preliminary level, with more focus on content placement and organisation, but without any usability testing.

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“…[6], [8], [11], [13], [14] Yes. This attribute highly effect to user 's decision mentioned in Table 1 Destination Category [6], [13], [15], [16] Yes Region [15] Yes Activity [6], [13], [15], [16]…”

Section: Goalmentioning

confidence: 99%

An Approach for Integrating Multidimensional Database into Context-Aware Recommender System

Vinh

Duy

et al. 2014

Computer Information Systems and Industrial Management

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Part 4: Data Analysis and Information RetrievalInternational audienceRecommender system (RS) suggests useful items to users. Most of existing techniques in RS focus on using a rating matrix of users and items without considering recommendation context. In this paper, we take advantage of multidimensional database to present context information in context-aware RS. Therefore, we exploit the ability of OLAP aggregate operations to estimate user ratings. We propose an approach to translate the concepts of content-based, collaborative filtering and context recommendation into OLAP aggregate operations and integrate them to rating estimation function. Furthermore, through OLAP aggregate operations, our rating estimation function tends to solve the cold-start problem in RS and the data sparsity problem in context-aware RS. We develop a context-aware tour RS with our approach. In this system, we survey related researches to identify context information and user, item information being suitable to tour RS. We evaluate the system by accuracy and performance

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Intelligent search in E-Tourism services using Recommendation System: Perfect guide for tourist

Cited by 9 publications

References 4 publications

Exploration and implication of factors affecting e-tourism adoption in developing countries: a case of Nepal

Exploration and implication of factors affecting e-tourism adoption in developing countries: a case of Nepal

Designing a professional e-portfolio to promote 3D printing-based entrepreneurial thinking as a case study: A technical writing project

An Approach for Integrating Multidimensional Database into Context-Aware Recommender System

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