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A survey of recommendation systems
Journal of Hebei University of Science and Technology, 2020 With the rapid development of the internet, how to mine and analyze massive network information has become a recognized hot and difficult problem. Among them, the recommendation system can provide users with accurate and fast business (commodities ...
Wanzhen ZHOU +3 more
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Transparency and precision in the age of AI: evaluation of explainability-enhanced recommendation systems. [PDF]
Front Artif IntellIn today’s information age, recommender systems have become an essential tool to filter and personalize the massive data flow to users. However, these systems’ increasing complexity and opaque nature have raised concerns about transparency and user trust.
Govea J, Gutierrez R, Villegas-Ch W.
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Systematic Review of Nutritional Recommendation Systems
Applied Sciences, 2021 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
Iñigo Orue-Saiz +2 more
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Providing a Model for Recommendation Systems of Information Resources in Iranian Library Software [PDF]
کتابداری و اطلاعرسانی, 2023 Objective: Users in the library software environment are immersed in a sea of information and searching in this space is time-consuming and confusing for them.
Sara Rezaeifard +3 more
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Connecting the museum to the city environment from the visitor’s perspective [PDF]
Applied Computing and Informatics, 2022 Recommendation systems are widely used in tourism in order to provide people personalized suggestions that would make their trip memorable. Nowadays, mobile assisted guided tours based on recommendation services are used in museums to enhance visitors ...
Konstantinos Koukoulis +2 more
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A Review of Text-Based Recommendation Systems
IEEE Access, 2021 Many websites over the Internet are producing a variety of textual data; such as news, research articles, ebooks, personal blogs, and user reviews. In these websites, the textual data is so large that the process of finding pertinent information by a ...
Safia Kanwal +3 more
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Recommendation System Based on Heterogeneous Feature: A Survey
IEEE Access, 2020 Recommendation systems have become an important field of research in computer science and physics. In recent years, breakthroughs have been achieved in social, biological, and research cooperation networks.
Hui Wang, Zichun Le, Xuan Gong
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Towards Symptom-Specific Intervention Recommendation Systems
Journal of Parkinson’s Disease, 2022 Background: Mobile devices and their capabilities (e.g., device sensors and human-device interactions) are increasingly being considered for use in clinical assessments and disease monitoring due to their ability to provide objective, repeatable, and ...
John Michael Templeton +2 more
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Matrix Completion of Adaptive Jumping Graph Neural Networks for Recommendation Systems
IEEE Access, 2023 Using graph neural networks to model recommendation scenarios can effectively capture high-order relationship features between objects, thereby helping the model better handle recommendation problems.
Xiaodong Zhu, Junyu Fu, Chen Chen
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Knowledge Transfer in Commercial Feature Extraction for the Retail Store Location Problem
IEEE Access, 2021 Location is the most important strategic decision in retailing. The location problem is markedly complex and multicriteria. One of the key factors to consider is the so-called balanced tenancy —i.e., the degree to which neighboring businesses ...
Virginia Ahedo +2 more
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