Results 11 to 20 of about 228,630 (266)
Physics Reports, 2012 97 pages, 20 figures (To appear in Physics Reports)
Lu L. +5 more
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Recommender Systems in Cybersecurity
Knowledge and Information Systems, 2023 AbstractWith the growth of CyberTerrorism, enterprises worldwide have been struggling to stop intruders from obtaining private data. Despite the efforts made by Cybersecurity experts, the shortage of skillful security teams and the usage of intelligent attacks have slowed down the enhancement of defense mechanisms.
Leonardo Ferreira +2 more
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, 2015 The purpose of this chapter is to describe a software system that allows for discovering non-traditional education resources such as software applications, events or people who may participate as experts in some Learning Activity. Selecting the more suitable educational resources to create learning activities in the classroom may be a challenging task ...
Anido Rifón, Luis Eulogio +12 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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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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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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Recommending Sources in News Recommender Systems
Proceedings of the 11th International Conference on Web Information Systems and Technologies, 2015 Recommender systems aim to deliver the most suitable item to the user without the manual effort of the user. It is possible to see the applications of recommender systems in a lot of different domains like music, movies, shopping and news. Recommender system development have many challenges.
Özlem Özgöbek +2 more
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