Results 11 to 20 of about 23,764 (310)
A market-based approach to recommender systems [PDF]
, 2005 Recommender systems have been widely advocated as a way of coping with the problem of information overload for knowledge workers. Given this, multiple recommendation methods have been developed.
Wei, Y.Z. +8 more
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Improving Accuracy of Recommender Systems using Social Network Information and Longitudinal Data [PDF]
Journal of Artificial Intelligence and Data Mining, 2020 The rapid development of technology, the Internet, and the development of electronic commerce have led to the emergence of recommender systems. These systems will assist the users in finding and selecting their desired items.
B. Hassanpour +2 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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A systematic review and research perspective on recommender systems
Journal of Big Data, 2022 Recommender systems are efficient tools for filtering online information, which is widespread owing to the changing habits of computer users, personalization trends, and emerging access to the internet.
Deepjyoti Roy, Mala Dutta
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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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Towards Cognitive Recommender Systems
Algorithms, 2020 Intelligence is the ability to learn from experience and use domain experts’ knowledge to adapt to new situations. In this context, an intelligent Recommender System should be able to learn from domain experts’ knowledge and experience, as it is vital to
Amin Beheshti +5 more
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Food recommender systems for diabetic patients: a narrative review [PDF]
Reviews in Clinical Medicine, 2017 World Health Organization (WHO) estimates that the number of people with diabetes will grow 114% by 2030. It declares that patients themselves have more responsibility for controlling and the treatment of diabetes by being provided with updated knowledge
Somaye Norouzi +4 more
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Embedding Based Recommender systems, a review and comparison. [PDF]
The Egyptian Journal of Language Engineering, 2022 This paper provides a summary and review of embedding based recommender systems. Word embedding frameworks like word2vec were originally developed for NLP tasks.
Ahmed Ragab, Passant El-Kafrawy
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Recommender Systems in the Real Estate Market—A Survey
Applied Sciences, 2021 The shift to e-commerce has changed many business areas. Real estate is one of the applications that has been affected by this modern technological wave. Recommender systems are intelligent models that assist users of real estate platforms in finding the
Alireza Gharahighehi +2 more
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IEEE Access, 2021 With the ever-growing volume of online information, recommender system has been an effective strategy to overcome such information overload. Recommender systems are widely used in many web applications, such as e-commerce, news, agriculture and other ...
Caixia Song, Haoyu Dong
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