Results 11 to 20 of about 1,237,966 (248)
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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International Journal of Advanced Research in Science, Communication and Technology, 2021 In this study searched for the survey paper on recommendation system. Recommendation system sorts through massive amounts of data to identify interest of users and makes the information search easier. For that purpose many methods have been used. Collaborative Filtering (CF) is a method of making automatic predictions about the interests of customers ...
Siddhesh Masrurkar +2 more
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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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Context-Aware Recommendation Systems in the IoT Environment (IoT-CARS)–A Comprehensive Overview
IEEE Access, 2021 An essential goal of recommendation systems is to provide users with accurate and personalized recommendations that meet their preferences. With the rapid growth of IoT-connected sensors, the availability of contextual information has increased, and this
Dina Nawara, Rasha Kashef
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Recommendation System for Open Source Projects for Minimizing Abandonment
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 The rise in the creation and maintenance of Open Source Software have facilitated the software developers to contribute and prevent abandonment. Software developers often face a daunting task to select the open source projects that remain active.
Sarah Sayce, Krishnendu Ghosh
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Joint Promotion Partner Recommendation Systems Using Data from Location-Based Social Networks
ISPRS International Journal of Geo-Information, 2021 Joint promotion is a valuable business strategy that enables companies to attract more customers at lower operational cost. However, finding a suitable partner can be extremely difficult.
Yi-Chung Chen +3 more
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Survey on federated recommendation systems
大数据, 2022 In the federated learning (FL) paradigm, the original data are stored in independent clients while masked data are sent to a central server to be aggregated, which proposes a novel design approach to numerous domains.Given the wide application of ...
Zhitao ZHU +3 more
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Scalable deep learning-based recommendation systems
ICT Express, 2019 We propose a novel collaborative filtering algorithm based on deep neural networks. We use normalized user-rating vector and normalized item-rating vector as inputs to a neural network.
Hyeungill Lee, Jungwoo Lee
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Towards a Semantics-Based Recommendation System for Cultural Heritage Collections
Applied Sciences, 2023 While the use of semantic technologies is now commonplace in the cultural heritage sector and several semantically annotated cultural heritage datasets are publicly available, there are few examples of cultural portals that exploit these datasets and ...
Jiayu Li, Antonis Bikakis
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Improving information filtering via network manipulation [PDF]
, 2012 Recommender system is a very promising way to address the problem of overabundant information for online users. Though the information filtering for the online commercial systems received much attention recently, almost all of the previous works are ...
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