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Recommender Systems for MOOCs: A Systematic Literature Survey (January 1, 2012 – July 12, 2019)
International Review of Research in Open and Distributed Learning, 2020 In recent years, massive open online courses (MOOCs) have gained popularity with learners and providers, and thus MOOC providers have started to further enhance the use of MOOCs through recommender systems. This paper is a systematic literature review on
Asra Khalid +2 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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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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International Journal of Artificial Intelligence and Machine Learning, 2021 The most challenging problem in human resources specially in the IT digital services company, is to assign the best collaborator’s in the adequate project , then ensure the delivery’s performance.in this paper we aim to develop à recommandation System using based-content and collaborative filtering in order to recommend potential profiles for a new job
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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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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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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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