scholarly journals Systematic Review of Contextual Suggestion and Recommendation Systems for Sustainable e-Tourism

2021 ◽  
Vol 13 (15) ◽  
pp. 8141
Author(s):  
Haseeb Ur Rehman Khan ◽  
Chen Kim Lim ◽  
Minhaz Farid Ahmed ◽  
Kian Lam Tan ◽  
Mazlin Bin Mokhtar
Keyword(s):  
Systematic Review ◽  
Information And Communication Technologies ◽  
Recommendation System ◽  
Recommendation Systems ◽  
Time Of Day ◽  
Tourism Industry ◽  
Time Data ◽  
Model Framework ◽  
Agenda 2030 ◽  
The Government

Agenda 2030 of Sustainable Development Goals (SDGs) 9 and 11 recognizes tourism as one of the central industries to global development to tackle global challenges. With the transformation of information and communication technologies (ICT), e-tourism has evolved globally to establish commercial relationships using the Internet for offering tourism-related products, including giving personalised suggestions. The contextual suggestion has emerged as a modified recommendation system that is integrated with information-retrieval techniques within large databases to provide tourists with a list of suggestions based on contexts, such as location, time of day, or day of the week (weekdays or weekends). This study surveyed literature in the field of contextual suggestion and recommendation systems with a focus on e-tourism. The concerns linked with approaches used in contextual suggestion and recommendation systems are highlighted in this systematic review, while motivations, recommendations, and practical implications in e-tourism are also discussed in this paper. A query search using the keywords “contextual suggestion system”, “recommendation system”, and “tourism” identified 143 relevant articles published from 2012 to 2020. Four major repositories are considered for searching, namely, (i) Science Direct, (ii) Scopus, (iii) IEEE, and (iv) Web of Science. This review was carried out under the protocols of four phases, namely, (i) query searching in major article repositories, (ii) removal of duplicates, (iii) scan of title and abstract, and (iv) complete reading of articles. To identify the gaps in current research, a taxonomy analysis was exemplified into categories and subcategories. The main categories were highlighted as (i) review articles, (ii) model/framework, and (iii) applications. Critical analysis was carried out on the basis of the available literature on the limitations of approaches used in contextual suggestion and recommendation systems. In conclusion, the approaches used are mainly based on content-based filtering, collaborative filtering, preference-based product ranking, and language modelling. The evaluation measures for the contextual suggestion system include precision, normalized discounted cumulative, and mean reciprocal rank, while test collections comprise Internet resources. Given that the tourism industry contributed to the environmental and social-economic development, contextual suggestion and recommendation systems have presented themselves to be relevant in integrating and achieving SDG 9 and SDG 11 in many ways such as web-based e-services by the government sector and smart gadgets based on reliable and real-time data and information for city planners as well as law enforcement personnel in a sustainable city.

A Survey on Recent Recommendation Systems for the Tourism Industry

2020 ◽  
pp. 205-237
Author(s):  
S. Ranjith ◽  
P. Victer Paul
Keyword(s):  
User Satisfaction ◽  
Recommendation System ◽  
Recommendation Systems ◽  
Tourism Industry ◽  
User Preferences ◽  
Reference List ◽  
Current State ◽  
Recent Recommendation ◽  
Important Field ◽  
Preference Criteria

Data mining is an important field that derives insights from the data and recommendation systems. Recommendation systems have become common in recent years in the field of tourism. These are widely used as a tool that can input various selection criteria and user preferences and yields travel recommendations to tourists. User's style and preferences should be constructed accurately so as to supply most relevant suggestions. Researchers proposed various types of tourism recommendation systems (TRS) in order to improve the accuracy and user satisfaction. In this chapter, the authors studied the current state of tourism recommendation system models and discussed their preference criteria. As a part of that, the authors studied various important preference factors in TRS and categorized them based on their likeness. This chapter reports TRS model future directions and compiles a comprehensive reference list to assist researchers.

scholarly journals Exploring the Relationship between Perceived Big Data Advantages and Online Consumers’ Behavior: An Extended Hierarchy of Effects Model

2020 ◽  
Vol 13 (6) ◽  
pp. 73
Author(s):  
Jean-Luc Pradel Mathurin Augustin ◽  
Shu-Yi Liaw
Keyword(s):  
Big Data ◽  
Information And Communication Technologies ◽  
Customer Service ◽  
Information Search ◽  
Dynamic Pricing ◽  
Recommendation System ◽  
Tourism Industry ◽  
Social Awareness ◽  
Significance Level ◽  
Hierarchy Of Effects

This study intends to extend the hierarchy of effects model into the reality of the tourism industry after incorporation of information and communication technologies. Data analyses were conducted on 260 online questionnaires. The findings indicated consumer behavior follows a three-layer model: Attention-Intention/Desire-Action/Sharing-Social Awareness. Among big data advantages, recommendation system, information search and improved customer service are important to Attention-Intention; information search, dynamic pricing are important to Desire-Action with customer service (lower significance level); only customer service is important to Sharing-Social awareness. This model allows understanding of consumers’ behavior in online tourism as tourists are often sharing their experiences and raise awareness on service quality from e-vendors. Organizations might use big data to guarantee customers’ satisfaction and attract positive feedback particularly from the third layer of behavior.

scholarly journals ICT in Rural Areas from the Perspective of Dairy Farming: A Systematic Review

2021 ◽  
Vol 13 (4) ◽  
pp. 99
Author(s):  
Alba Vázquez-López ◽  
Martín Barrasa-Rioja ◽  
Manuel Marey-Perez
Keyword(s):  
Systematic Review ◽  
Public Administration ◽  
Information And Communication Technologies ◽  
Rural Areas ◽  
Dairy Farms ◽  
Electronic Government ◽  
Future Research ◽  
The European Union ◽  
Dairy Farmers ◽  
The Government

This study presents a systematic review of 169 papers concerning the ICT (Information and Communication Technologies) related to rural areas, specifically to dairy farms. The objective was to delve into the relationship between dairy farmers and the administrative authorities via e-government, comparing this area to another eight concerning the farmer’s needs and expectations in relation to the ICT in different fields of their business. We observed that areas such as connectivity and digital inclusion are the most covered areas not only at the study level but also at the government level since countries all over the world are trying to develop politics to put an end to the so-called “digital divide,” which affects rural areas more intensely. This is increasing due to the growing technological innovations. The areas of the market, production, financial development, management and counseling, Smart Farming, and Internet of Things have been approached, associated with the ICT in dairy farms, showing in the latter two an increasing number of papers in the last few years. The area of public administration in relation to dairy farms has also been covered, being remarkable the low number of pieces of research concerning the interaction by the farmers, more specifically by dairy farmers, with the public administration, which is surprising due to the new global need and especially in the European Union (EU) of interacting with it telematically by all legal entities. The results show that there are still barriers to the implementation of the electronic government (e-government) since the websites do not meet the user’s expectations. Therefore, this study lays the ground for future research on this area. As a graphical abstract of the contributions of this paper, we present a graphic summary, where the different contributions by areas and expressed in percentage values are shown.

scholarly journals Differences in the recommendation of laparoscopic clinical practice guidelines according to the recommendation system—Re-evaluation using GRADE

2020 ◽  
Vol 52 (2) ◽  
pp. 69-73
Author(s):  
J. Leung ◽  
A. Ng ◽  
K. Gurusamy
Keyword(s):  
Systematic Review ◽  
Clinical Practice ◽  
Effective Treatment ◽  
Clinical Practice Guidelines ◽  
Practice Guidelines ◽  
Recommendation System ◽  
Recommendation Systems ◽  
Purposive Sampling

Summary Background Guidelines are essential for safe and effective treatment. They usually have multiple statements. Since the supporting information for the guidelines varies widely, the degree to which these statements are recommended also differ. We rely on recommendation systems for grading the recommendations for different statements. All recommendation systems have different grading criteria and they could potentially cause confusion and affect the quality of recommendations. Therefore, there is a need to determine the extent of variation and explore the potential reasons behind it. Methods A purposive sampling on PubMed was conducted to find four different laparoscopic guidelines using different methods to grade the recommendations. Each statement was then re-evaluated using the GRADE recommendation system. Results The guidelines used GRADE, Oxford Methodology, SIGN, and ‘bespoke’ systems. The number of statements with similar strength for the different statements as the re-evaluated strengths in the four guidelines were 24.1, 62.2, 35.8 and 50.0% respectively. Conclusion There were a wide variety of recommendation systems for laparoscopic guidelines and there were differences between the recommendations from the guidelines using GRADE, Oxford Methodology, SIGN and the ‘Bespoke’ system when re-evaluated by GRADE. A systematic review of recent laparoscopic guidelines might provide the extent and the main reasons of the problem.

Efficient Distributed Matrix Factorization Alternating Least Squares (EDMFALS) for Recommendation Systems Using Spark

2021 ◽  
Author(s):  
R. R. S. Ravi Kumar ◽  
G. Appa Rao ◽  
S. Anuradha
Keyword(s):  
Least Squares ◽  
Real Time ◽  
Data Streams ◽  
High Speed ◽  
Recommendation System ◽  
Recommendation Systems ◽  
Alternating Least Squares ◽  
Time Data ◽  
Distributed Framework ◽  
User Ratings

With the emergence of e-commerce and social networking systems, the use of recommendation systems gained popularity to predict the user ratings of an item. Since the large volume of data is generated from various sources at high speed, predicting the ratings accurately in real-time adds enormous benefit to the users while choosing the correct item. So a recommendation system must be capable enough to predict the rating accurately when the data are large. Apache Spark is a distributed framework well suited for processing large datasets and real-time data streams. In this paper, we propose an efficient matrix factorisation algorithm based on Spark MLlib alternating least squares (ALS) for collaborative filtering. The optimisations used for the proposed algorithm using Tungsten improved the performance of the algorithm significantly while doing the predictions. The experimental results prove that the proposed work is significantly faster for top-N recommendations and rating predictions compared with the existing works.

scholarly journals Web-Based Recommendation System for Smart Tourism: Multiagent Technology

2019 ◽  
Vol 11 (2) ◽  
pp. 323 ◽  
Author(s):  
Raheleh Hassannia ◽  
Ali Vatankhah Barenji ◽  
Zhi Li ◽  
Habib Alipour
Keyword(s):  
Real Time ◽  
Web Application ◽  
Recommendation System ◽  
Online Communication ◽  
Data Communication ◽  
Tourism Industry ◽  
Time Data ◽  
Real Time Data ◽  
Hybrid Recommendation ◽  
Smart Tourism

The purpose of the study is to design and develop a recommended system based on agent and web technologies, which utilizes a hybrid recommendation filtering for the smart tourism industry. A hybrid recommendation system based on agent technology is designed by considering the online communication with other sectors in the tourism industry, such as the tourism supply chain, agency etc. However, online communication between the sectors via agents is designed and developed based on the contract net protocol. Furthermore, the design system is developed on the java agent development framework and implemented as a web application. Case study-based results considering two scenarios involving 100 customers illustrated that the proposed web application improves the rate of the recommendation for the customers. In the first scenario without disturbances, this rate was improved by 20% and the second scenario with disturbances yielded a 30% rate of acceptable recommendation. In addition, based on the second scenario, real time data communication on the system occurred, thus the proposed system supported real time data communication.

scholarly journals Systematic Review of Nutritional Recommendation Systems

2021 ◽  
Vol 11 (24) ◽  
pp. 12069
Author(s):  
Iñigo Orue-Saiz ◽  
Miguel Kazarez ◽  
Amaia Mendez-Zorrilla
Keyword(s):  
Systematic Review ◽  
Collaborative Filtering ◽  
Recommendation System ◽  
Recommendation Systems ◽  
Open Data ◽  
Third Parties ◽  
Calorie Consumption ◽  
Healthy Habits ◽  
Nutritional Recommendation

In recent years, the promotion of healthy habits, and especially diet-oriented habits, has been one of the priority interests of our society. There are many apps created to count calories based on what we eat, or to estimate calorie consumption according to the sport we do, or to recommend recipes, but very few are capable of giving personalized recommendations. This review tries to see what studies exist and what recommendation systems are used for this purpose, over the last 5 years in the main databases. Among the results obtained, it is observed that the existing works focus on the recommendation system (usually collaborative filtering), and not so much on the description of the data or the sample analyzed; the indices used for the calculation of calories or nutrients are not specified. Therefore, it is necessary to work with open data, or well-described data, which allows the experience to be reproduced by third parties, or at least to be comparable. In recent years, the promotion of healthy habits, and especially diet-oriented habits, has been one of the priority interests of our society.

DIFFUSION AND ADOPTION OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN SOUTH AFRICAN TELECENTRES: SELECTED TELECENTRES IN KWAZULU-NATAL

Mousaion ◽  
2016 ◽  
Vol 33 (1) ◽  
pp. 103-120 ◽  
Author(s):  
Blessing Mbatha
Keyword(s):  
Information And Communication Technologies ◽  
Diffusion Of Innovations ◽  
Local Community ◽  
Information And Communications Technologies ◽  
Community Members ◽  
Kwazulu Natal ◽  
Information And Communication ◽  
Ict Tools ◽  
The Government ◽  
Types Of Information

This study investigated the usage and types of information and communications technologies (ICTs) accessible to community members in four selected Thusong Service Centres (TSCs or telecentres) in KwaZulu-Natal (KZN). The telecentres that participated in the study were: Nhlazuka, Mbazwane, Dududu and Malangeni. The study was informed by Rogers’ (1995) Diffusion of Innovations (DoI) theory. Through a survey, four TSCs were purposively selected. A questionnaire was used to collect data from community members in the four telecentres involved. The data collected was tabulated under the various headings and presented using tables, frequencies, percentiles and generalisations with the help of the Statistical Package for the Social Sciences (SPSS). The results indicated that a variety of ICT tools have been adopted in the TSCs to provide the local community with the much-needed access to information and improved communication. The government should ensure that adequate varieties and levels of ICT competence are offered to all the citizens. In conclusion, there is a need for sufficient and coherent government policies regulating the training of the local community to use these ICTs effectively.

Domestic Tourism in Nepal: Issues and Challenges

2020 ◽  
Vol 24 (1) ◽  
pp. 37-49
Author(s):  
Sandeep Basnyat ◽  
Suryakiran Shrestha ◽  
Bijita Shakya ◽  
Reeja Byanjankar ◽  
Shubhashree Basnyat
Keyword(s):  
Developing Countries ◽  
South Asian ◽  
Business Environment ◽  
Institutional Arrangements ◽  
Tourism Industry ◽  
International Tourism ◽  
Tourism Research ◽  
Semistructured Interviews ◽  
Domestic Tourism ◽  
The Government

Compared to international tourism, domestic tourism is less susceptible to external changes and provides a more stable business environment for industry stakeholders. Traditionally, the focus of a majority of tourism research has been international tourism. Existing domestic tourism literature predominantly focuses on the potential of domestic tourism and the measurement of its demands, but greatly ignores the issues and challenges in the domestic tourism industry. This article fills this gap and examines the issues and challenges the domestic tourism industry is facing with a focus on Nepal, a South Asian developing country. The data for this study were collected through semistructured interviews with 20 tourism industry practitioners. The findings of this study demonstrate how uncertainties created by the lack of institutional arrangements and prioritization, and confusion around the appropriate ways and means of managing domestic tourism have contributed to the chaos in the private sector tourism industry in Nepal. Implications for the government and other stakeholders in Nepal and other developing countries have been discussed.

Community Development and Role of Tourism: A Case Study of Tourist Destination Manali in Himachal Pradesh (India)

2016 ◽  
Vol 2 (1) ◽  
Author(s):  
Sunil
Keyword(s):  
Traffic Congestion ◽  
Local Community ◽  
Negative Impact ◽  
Himachal Pradesh ◽  
Tourism Industry ◽  
Cultural Development ◽  
Infrastructure Development ◽  
Tourism Sector ◽  
The Government ◽  
Agriculture Products

Tourism sector has a significant role in the economic development of our country. Tourism sector has contributed 6.88 percent to the GDP and has 12.36 percent share in employment (direct and indirect) in the year 2014. It has also a significant share in foreign exchange earnings. The benefit of tourism mostly goes to the local community (Sonya & Jacqueline, Mansour E. Zaei & Mahin E. Zaei, 2013). In this paper, an attempt has been made to assess how the tourism industry has created an opportunity for the economic, political, social and cultural development of the local community at Manali in Himachal Pradesh (India) and also tried to study the problems that are associated with the tourism in the region. The study found that the tourism industry has been extending its contribution for the development of local community at Manali. It has been providing employment, business and investment opportunities, revenue generation for the government, encouraging the community to promote and preserve its art, culture and heritage, raising the demand of agriculture products, provided opportunities for local people to run and work in the transport business and by promoting MSMEs in the region. Besides the opportunities, the tourism industry has also added many problems to the local community. Traffic congestion, increase in water and air pollution, solid waste generation, degradation of the cultural heritage, ecological imbalances, rise in cost of living, increase in crime, noise and environment pollution, migration of people to the region, negative impact on local culture, and extra pressure on civic services during the tourists season, are the problems associated with the tourism. The study suggest that effective management of natural resources, dissemination of environment protection information, involvement of local community in decision making, professionalization in the working of local administration, extending the support of government in sponsoring the events, infrastructure development, tracking records of migrants with the help of local community to curb the crime rate, promotion and preservation of art, culture and heritage, involvement of NGOs, compliance of the rules can make tourism more beneficial in the development of local community.

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