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Recommender system application developments: A survey

Jie Lu, Dianshuang Wu, Mingsong Mao, Wei Wang, Guangquan Zhang
2015 Decision Support Systems  
(such as e-business) and application platforms (such as mobile-based platforms).  ...  A recommender system aims to provide users with personalized online product or service recommendations to handle the increasing online information overload problem and improve customer relationship management  ...  A Bayesian classifier and a decision tree model are trained to learn the implicit data and view history, and a neural network is trained to learn the explicit data and viewer specification.  ... 
doi:10.1016/j.dss.2015.03.008 fatcat:y4phvn677zaondsbjkn56orxt4

Intelligent tourism recommender systems: A survey

Joan Borràs, Antonio Moreno, Aida Valls
2014 Expert systems with applications  
This paper focuses on their application in tourism.  ...  A comprehensive and thorough search of the smart e-Tourism recommenders reported in the Artificial Intelligence journals and conferences since 2008 has been made.  ...  mobility management.  ... 
doi:10.1016/j.eswa.2014.06.007 fatcat:l234hd377rdefczfvsw52at46a

Agent-Oriented Requirement Engineering for Mobile Application Development

Cheah WaiShiang, Aida Shafreena bt Ahmad Puad, Puah Chin Hong, Alfian Abdul Halin
2017 International Journal of Interactive Mobile Technologies  
This paper introduces a technique to assist mobile application development through Agent-Oriented Requirements Engineering (AORE).  ...  AORE consists of goal modelling to analyse and understand a mobile-based project.  ...  Acknowledgement A special thanks to institute of Borneo Studies, Unimas to fund for this project.  ... 
doi:10.3991/ijim.v11i6.6760 fatcat:72tdkyha5fbnnoeswafywoljjm

The Challenges of Smart Tourism: A Case of Bucharest

Gabriel-Cristian Sabou, Irina Maiorescu
2020 Studia Universitatis Vasile Goldis Arad, Seria Stiinte Economice  
Tourism is an area where varied and numerous services are required, hence this diversity resulted in a multitude of smart applications and smart systems designed to enhance tourist's satisfaction.  ...  The present paper investigates the concept of Smart Tourism in the scientific literature and how it can be applied for mobile applications, with particular focus on the most popular Smart Tourism apps  ...  Funding This work was co-financed from the European Social Fund through Operational Programme Human Capital 2014-2020, project number POCU/380/6/13/125015 -Development of entrepreneurial skills for doctoral  ... 
doi:10.2478/sues-2020-0013 fatcat:3hry5efhibfw7mpx3zd7iqximi

A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields

Hyeyoung Ko, Suyeon Lee, Yoonseo Park, Anna Choi
2022 Electronics  
First, for a reliable analysis of recommendation models for recommendation systems, data mining technology, and related research by application service, more than 135 top-ranking articles and top-tier  ...  While providing a comprehensive summary of recommendation systems, this study provides insight to many researchers interested in recommendation systems through the analysis of its various technologies  ...  In order to utilize a user's explicit data and implicit data for item recommendation, it is necessary to understand the user's taste through various data mining techniques.  ... 
doi:10.3390/electronics11010141 fatcat:k2tpqmtufrf57kgquuyhzae3da

Smart Tourism Recommendation Model: A Systematic Literature Review

Choirul Huda, Arief Ramadhan, Agung Trisetyarso, Edi Abdurachman, Yaya Heryadi
2021 International Journal of Advanced Computer Science and Applications  
The opportunities for a further research study can be conducted with more data usage especially for a smart recommender system in tourism through many types of recommendation techniques such as content-based  ...  This research applied for a systematic literature review on tourism, digital tourism, smart tourism, and recommender system in tourism.  ...  The author in [23] developed a software architecture that can be specified in a web application based on the proposal of a management model of the NTS-TS 002 standard through conceptual software design  ... 
doi:10.14569/ijacsa.2021.0121222 fatcat:m6wylu22azhd5fkpmo5lz65rmy

How to Encourage Recycling Behaviour? The Case of WasteApp: A Gamified Mobile Application

Aguiar-Castillo Lidia, Rufo-Torres Julio, De Petra, Perez-Jimenez Rafael
2018 Sustainability  
A theoretical model has been validated through a survey of 79 experts in some pilot cities before the use of the application.  ...  The results showed that only the expected social benefits and the perceived risks have a direct and significant influence on the intention to adopt the sustainability application based on gamification.  ...  As Changsok [23] argues, gamification applications in smart tourism have an inherent hedonistic value of game mechanics.  ... 
doi:10.3390/su10051544 fatcat:cagw7vrpfvasxglvimgkmbb6me

User-Generated Content and Its Applications in Urban Studies [chapter]

Wei Tu, Qingquan Li, Yatao Zhang, Yang Yue
2021 The Urban Book Series  
AbstractThe emergence of Web 2.0 and mobile Internet produces massive user-generated content (UGC), including geo-tagged photos, social network posts, street view images, and crowdsourced GPS trajectories  ...  We showcase ways in which user-generated big data can be harvested and analyzed to generate invisible and impressionistic landscapes of urban dynamics and to stimulate innovative applications.  ...  In 2018, there were over 3 billion active social media users, and almost 3 billion active users of mobile social media (Mart et al. 2019).  ... 
doi:10.1007/978-981-15-8983-6_29 fatcat:vzbqul4fljbx7gkcrtw7htq6gm

Social Trust Based Semantic Tourism Recommender System: A Case of Medical Tourism in Tunisia

Mohamed Frikha, Mohamed Mhiri, Faiez Gargouri
2017 European Journal of Tourism Research  
Afterwards, we have used this method in a semantic tourism recommender system as a smart e-tourism tool able to recommend items based on the users' preferences and their trusted friends' preferences.  ...  We propose to integrate the temporal factor in measuring trust between social network friends. A Trusted Friend's calculation method is developed for determining social trusted friends in Facebook.  ...  A social network-based Web application can be a useful option for the implementation of a social tourism recommender system.  ... 
doi:10.54055/ejtr.v17i.294 fatcat:zh4udp3v5ne2ncaf2zaxeazvg4

Smart tourism: State of the art and literature review for the last six years

Aristea Kontogianni, Efthimios Alepis
2020 Array  
In this study, "key concepts" include: Privacy Preserving, Context Awareness, Cultural Heritage, Recommender Systems, Social Media, Internet of Things, User Experience, Real Time, User Modeling, Augmented  ...  These facts have given birth to the "Smart Tourism" concept which can be characterized as a progression from traditional tourism.  ...  Moreover, the main objective of (Kontogianni et al., 2018) is to present how user modeling could be accomplished in a Smart Tourism application scenario via data originating from users' social networks  ... 
doi:10.1016/j.array.2020.100020 fatcat:isv7axev7fdz3n7hfx3jsv67aa

Tourist Recommender Systems Based on Emotion Recognition—A Scientometric Review

Luz Santamaria-Granados, Juan Francisco Mendoza-Moreno, Gustavo Ramirez-Gonzalez
2020 Future Internet  
This article reviews the principal recommendation approach documents found in scientific databases (Elsevier's Scopus and Clarivate Web of Science) through a scientometric analysis in ScientoPy.  ...  Recommendation systems have overcome the overload of irrelevant information by considering users' preferences and emotional states in the fields of tourism, health, e-commerce, and entertainment.  ...  Precisely, the heterogeneous data extracted in a smart city favor the design of tourism behavior models based on digital patterns of travel routes [95] .  ... 
doi:10.3390/fi13010002 fatcat:h6hfzyfe5bdw3hvlqinjmrunmq

Autonomic Semantic-Based Context-Aware Platform for Mobile Applications in Pervasive Environments

Adel Alti, Abderrahim Lakehal, Sébastien Laborie, Philippe Roose
2016 Future Internet  
Another interesting work is SenSocial [8], which defines middleware for integrating online social networks and mobile sensing data streams.  ...  This middleware is based on social networks for capturing and filtering context data. It proposes a generic solution to manage and aggregate context streams from multiple remote devices.  ...  In order to design smart context-aware mobile applications, we need to exploit semantic web technologies, as well as the Kalimucho middleware [1] , where the mobile application qualities are managed in  ... 
doi:10.3390/fi8040048 fatcat:2b6mrb47yvfgrgnne743pxwnpm

Mobile Multimedia Recommendation in Smart Communities: A Survey [article]

Feng Xia, Nana Yaw Asabere, Ahmedin Mohammed Ahmed, Jing Li, Xiangjie Kong
2013 arXiv   pre-print
In this survey paper, we examine the importance of mobile multimedia recommendation systems from the perspective of three smart communities, namely, mobile social learning, mobile event guide and context-aware  ...  Mobile device challenges such as storage limitation have however introduced the problem of mobile multimedia overload to users.  ...  The user model and user's mobile device are all connected to a server through an interactive cloud network.  ... 
arXiv:1312.6565v1 fatcat:myep75jg4fcvhgscrxjmouoksm

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

Haseeb Ur Rehman Khan, Chen Kim Lim, Minhaz Farid Ahmed, Kian Lam Tan, Mazlin Bin Mokhtar
2021 Sustainability  
The main categories were highlighted as (i) review articles, (ii) model/framework, and (iii) applications.  ...  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  ...  With the inclusion of data from social networks, recommendation systems also included a vast amount of personal knowledge from users [89] [90] [91] [92] .  ... 
doi:10.3390/su13158141 fatcat:cko7kgrv6zdw7my7nst4jgd2fq

Editorial: Anticipatory Systems: Humans Meet Artificial Intelligence

Mu-Yen Chen, Edwin Lughofer, Jose de Jesus Rubio, Yenchun Jim Wu
2021 Frontiers in Psychology  
The paper titled "Measuring and Improving User Experience Through Artificial Intelligence-Aided Design" by Yang et al. suggests to collect user behavior data from logs of a mobile technology; in order  ...  to provide the privacy of users, the information is utilized to process the browsing and performing of mobile technology, the target of the proposed technique is to design a deep neural network model to  ... 
doi:10.3389/fpsyg.2021.721879 fatcat:sqdwprqxt5ethnuslifr3zp6j4
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