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Ryoya Yoshimura, Kazunori Sakamoto, Hironori Washizaki and Yoshiaki Fukazawa
Programming education for beginners often employs online judges. Although this helps improve coding skills, students may not obtain sufficient educational effects if the assignment is too difficult. Instead of presenting a model answer to an assignment, ...
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Li Bai, Mi Hu, Yunlong Ma and Min Liu
The hybrid two-phase recommendation for some group-buying based e-commerce applications, such as Meituan.com and Pinduoduo.com.
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Fenghuan Li, Zhaosheng Lin and Zhenyu Wang
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Raciel Yera Toledo, Yailé Caballero Mota and Luis Martínez
Programming online judges (POJs) are an emerging application scenario in e-learning recommendation areas. Specifically, they are e-learning tools usually used in programming practices for the automatic evaluation of source code developed by students when...
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Renata Lopes Rosa,Eduardo Lucio Lasmar Junior,Demóstenes Zegarra Rodríguez
Pág. 359 - 366
In recent years, the shared mobility service hasincreased in many countries across the world because its low cost and several shared-use mobility applications on mobile devices. Commonly, if a ride is shared between people with similar preferences, users...
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Rose Marie Santini
In the cultural market, the operation of which depends on the creation of intersubjective values to generate the production of consumers, the market strategies to adjust supply and demand have been historically characterised by mechanisms of social recom...
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Laura Plaza, Lourdes Araujo, Fernando López-Ostenero and Juan Martínez-Romo
Online learning is quickly becoming a popular choice instead of traditional education. One of its key advantages lies in the flexibility it offers, allowing individuals to tailor their learning experiences to their unique schedules and commitments. Moreo...
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Mohamed Hamada and Mohammed Hassan
Recommender systems are powerful online tools that help to overcome problems of information overload. They make personalized recommendations to online users using various data mining and filtering techniques. However, most of the existing recommender sys...
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S Luckyardi, C N Albar, N N Supriatna
Pág. 6 - 12
The purpose of this research is to analyse the influence of e-advertising on consumers. The case study was conducted on culinary product by performing literature study method and questionnaires. Purposive sampling technique was used with two criteria nam...
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Cristina Gena, Pierluigi Grillo, Antonio Lieto, Claudio Mattutino and Fabiana Vernero
Aiming at granting wide access to their contents, online information providers often choose not to have registered users, and therefore must give up personalization. In this paper, we focus on the case of non-personalized news recommender systems, and ex...
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Sheetal Kusal, Shruti Patil, Ketan Kotecha, Rajanikanth Aluvalu and Vijayakumar Varadarajan
Online Social Media (OSM) like Facebook and Twitter has emerged as a powerful tool to express via text people?s opinions and feelings about the current surrounding events. Understanding the emotions at the fine-grained level of these expressed thoughts i...
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Morrisson Mutuku, Stephen Muathe, Rosemary James
Pág. 10 - 20
Financial performance of a commercial banks driven by a number of capabilities drawn from either the internal or the external environment. The Kenyan Government and commercial banks in particular have invested in e-commerce solution. Despite these invetm...
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taufik rahman
Pág. 313 - 318
Abstract The Center for Development of Early Childhood Education and Community Education (PP PAUD and Dikmas) West Java has programmed Online Basic Level of Leveled Training for Early Childhood and Care Education (ECCE) Teachers. The Leveled T...
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Hasnizam Shaari,Intan Shafinaz Ahmad
Pág. 209 - 215
Brand commitment studies had gained considerable attention in today?s marketing practices. Sustaining the brand competitive advantages become challenging especially in the context of digital marketing. Development of Web 2.0 that enable...
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GATUT PRIYO WIDODO,INRI INDRAYANI
The relations between Indonesia and Malaysia arealways full of dynamics. Indonesia is always knownas old brother of Malaysia since it has similar history,religion also socio cultural background. Somedecades show that the decline of relationship of bothco...
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Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes and Laurent Risser
Automatic recommendation systems based on deep neural networks have become extremely popular during the last decade. Some of these systems can, however, be used in applications that are ranked as High Risk by the European Commission in the AI act?for ins...
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Mohd Anuaruddin Bin Ahmadon, Shingo Yamaguchi, Abd Kadir Mahamad and Sharifah Saon
Online services, ambient services, and recommendation systems take user preferences into data processing so that the services can be tailored to the customer?s preferences. Associative rules have been used to capture combinations of frequently preferred ...
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Noaman M. Ali, Abdullah Alshahrani, Ahmed M. Alghamdi and Boris Novikov
Online customers? opinions represent a significant resource for both customers and enterprises to extract much information that helps them make the right decision. Finding relevant data while searching the internet is a big challenge for web users, known...
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Diego Sánchez-Moreno, Yong Zheng and María N. Moreno-García
Online streaming services have become the most popular way of listening to music. The majority of these services are endowed with recommendation mechanisms that help users to discover songs and artists that may interest them from the vast amount of music...
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Rupali Chaurasiya,Rudresh Pandey,Priyanka Verma,Xin Hui Kek,Daisy Mui Hung Kee,Xin Yi Yeoh,Pei Jia Wah,Regina Rokiah
Pág. 66 - 72
MTR Foods is a well-known brand in the world for its packaged foods especially ready-to-eat meals. The purpose of this study is to determine the factors affecting the purchase decision of India?s and Malaysia?s consumers against the ready-to-eat (RTE) ma...
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