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Vandha Pradwiyasma Widartha, Ilkyeun Ra, Su-Yeon Lee and Chang-Soo Kim
Smart lighting control systems represent an advanced approach to reducing energy use. These systems leverage advanced technology to provide users with better control over their lighting, allowing them to manually, remotely, and automatically modify the b...
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Yelyzaveta Meleshko
Pág. 52 - 57
The subject matter of the research is the process of identifying information attacks on the recommendation system. The goal of this work is to develop a method for detecting information attack objects in a recommendation system based on the analysis of t...
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Ratih Kartika Dewi,Mahardeka Tri Ananta,Lutfi Fanani,Komang Candra Brata,Nurizal Dwi Priandani
Pág. pp. 209 - 216
Mobile based culinary recommendation system has received significant attention in recent mobile application research . Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) has regained popularity in supporting multi-criteria decisio...
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Yudai Kato and Kayoko Yamamoto
The present study aimed to design, develop, operate and evaluate a sightseeing spot recommendation system that can efficiently and usefully support tourists while considering their visiting frequencies. This system was developed by integrating social net...
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Aileen C. Benedict and Zbigniew W. Ras
The paper concerns the problem of action-rule extraction when datasets are large. Such rules can be used to construct a knowledge base in a recommendation system. One of the popular approaches to construct action rules in such cases is to partition the d...
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Hajar Majjate, Youssra Bellarhmouch, Adil Jeghal, Ali Yahyaouy, Hamid Tairi and Khalid Alaoui Zidani
Over the past few decades, the education sector has achieved impressive advancements by incorporating Artificial Intelligence (AI) into the educational environment. Nevertheless, specific educational processes, particularly educational counseling, still ...
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Dimitris Mpouziotas, Jeries Besharat, Ioannis G. Tsoulos and Chrysostomos Stylios
AliAmvra is a project developed to explore and promote high-quality catches of the Amvrakikos Gulf (GP) to Artas? wider regions. In addition, this project aimed to implement an integrated plan of action to form a business identity with high added value a...
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Bin Cheng, Ping Chen, Xin Zhang, Keyu Fang, Xiaoli Qin and Wei Liu
With the rapid development of ubiquitous data collection and data analysis, data privacy in a recommended system is facing more and more challenges. Differential privacy technology can provide strict privacy protection while reducing the risk of privacy ...
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Rofi Aditya,Wirawan Istiono
Pág. 20 - 26
The spring bed mattress is a bed facility that can provide comfort for its users and is one of the board's needs. Spring beds are available in a wide selection of product variations from different brands of spring bed mattresses. People often feel confus...
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Christine Musanase, Anthony Vodacek, Damien Hanyurwimfura, Alfred Uwitonze and Innocent Kabandana
Agriculture plays a key role in global food security. Agriculture is critical to global food security and economic development. Precision farming using machine learning (ML) and the Internet of Things (IoT) is a promising approach to increasing crop prod...
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Muhammad Talha Siddique, Paraskevas Koukaras, Dimosthenis Ioannidis and Christos Tjortjis
The Smart Readiness Indicator (SRI) is a newly developed framework that measures a building?s technological readiness to improve its energy efficiency. The integration of data obtained from this framework with data derived from Building Information Model...
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Silvia Carpitella, Bruno Brentan, Antonella Certa and Joaquín Izquierdo
This paper introduces a recommendation system aimed at enhancing the sustainable process of risk management within airport operations, with a special focus on Occupational Stress Risks (OSRs). The recommendation system is implemented via a flexible Pytho...
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Tareq Khan
Fires kill and injure people, destroy residences, pollute the air, and cause economic loss. The damage of the fire can be reduced if we can detect the fire early and notify the firefighters as soon as possible. In this project, a novel Internet of Things...
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Sumet Darapisut, Komate Amphawan, Nutthanon Leelathakul and Sunisa Rimcharoen
Location-based recommender systems (LBRSs) have exhibited significant potential in providing personalized recommendations based on the user?s geographic location and contextual factors such as time, personal preference, and location categories. However, ...
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Luong Vuong Nguyen, Quoc-Trinh Vo and Tri-Hai Nguyen
In the current era of e-commerce, users are overwhelmed with countless products, making it difficult to find relevant items. Recommendation systems generate suggestions based on user preferences, to avoid information overload. Collaborative filtering is ...
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Marwa Abdelreheim, Taysir Hassan A. Soliman and Friederike Klan
The profusion of existing ontologies in different domains has made reusing ontologies a best practice when developing new ontologies. The ontology reuse process reduces the expensive cost of developing a new ontology, in terms of time and effort, and sup...
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lama mansour, Zainab Omran , Ghaydaa Mnsoor Kaddoura , Mustapha Dakkak, Yasser Rahhal
Pág. 145 - 152
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Miguel Simões Rodrigues, Filipe Fidalgo and Ângela Oliveira
Currently, food waste is a global concern, a problem that arises mainly at the consumption level and generates environmental, economic, and social impacts. One way to reduce the food waste problem is to use the food we already have at home. However, this...
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Yu Mao, Yuxuan Cheng and Chunyu Shi
In the field of job recruitment, a classic recommendation system consists of users, positions, and user ratings on positions. Its key task is to predict the unknown rating data of users on positions and then recommend positions that users are interested ...
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Can Cui, Jiwei Qin and Qiulin Ren
Representation learning-based collaborative filtering (CF) methods address the linear relationship of user-items with dot products and cannot study the latent nonlinear relationship applied to implicit feedback. Matching function learning-based CF method...
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