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Teacher-centric educational recommender systems in K12 practice: Usage and evaluation [PDF]

Heliyon
Personalized learning is hard to apply in classroom practice due to the workload of teachers. Recommender systems can help teachers make choices and hence personalize the learning environment.
Sohum M. Bhatt, Katrien Verbert, Wim Van Den Noortgate   +2 more
doaj   +2 more sources

Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networks [PDF]

Frontiers in Big Data, 2023
By providing personalized suggestions to users, recommender systems have become essential to numerous online platforms. Collaborative filtering, particularly graph-based approaches using Graph Neural Networks (GNNs), have demonstrated great results in ...
Tomislav Duricic, Tomislav Duricic, Dominik Kowald, Dominik Kowald, Emanuel Lacic, Elisabeth Lex   +5 more
doaj   +2 more sources

Because You Watched: How Do Streaming Services’ Recommender Systems Influence Aesthetic Choice? [PDF]

Behavioral Sciences
To support users’ media selection, streaming services increasingly rely on algorithmic recommender systems that provide personalized media curation based on various sources of user information (e.g., previously watched content).
Harrison E. Chapman, Anna Abraham
doaj   +2 more sources

Recommender Systems

, 2022
Recommender Systems Empfehlungssysteme in der digitalen ...
MTandHJ
  +4 more sources

The Use of Recommender Systems in Formal Learning. A Systematic Literature Mapping [PDF]

Journal of Universal Computer Science, 2022
Recommender Systems provide users with content or products they are interested in. The main purpose of Recommender Systems is to find, among the vast amount of information that is available or advertised on the Internet, content that meets the user& ...
Nahia Ugarte, Mikel Larrañaga, Ana Arruarte   +2 more
doaj   +3 more sources

Recommender systems [PDF]

Physics Reports, 2012
97 pages, 20 figures (To appear in Physics Reports)
Lu L., Medo M., Yeung C.H., Zhang Y.-C., Zhang Z.-K., Zhou T.   +5 more
openaire   +4 more sources

Developing and Evaluating a University Recommender System

Frontiers in Artificial Intelligence, 2022
A challenge for many young adults is to find the right institution to follow higher education. Global university rankings are a commonly used, but inefficient tool, for they do not consider a person's preferences and needs.
Mehdi Elahi, Alain Starke, Alain Starke, Nabil El Ioini, Anna Alexander Lambrix, Christoph Trattner   +5 more
doaj   +1 more source

Movie Recommender Systems: Concepts, Methods, Challenges, and Future Directions

Sensors, 2022
Movie recommender systems are meant to give suggestions to the users based on the features they love the most. A highly performing movie recommendation will suggest movies that match the similarities with the highest degree of performance.
Sambandam Jayalakshmi, Narayanan Ganesh, Robert Čep, Janakiraman Senthil Murugan   +3 more
doaj   +1 more source

Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect

Frontiers in Big Data, 2021
Recommender systems aim to provide item recommendations for users and are usually faced with data sparsity problems (e.g., cold start) in real-world scenarios.
Zheni Zeng, Zheni Zeng, Chaojun Xiao, Chaojun Xiao, Yuan Yao, Yuan Yao, Ruobing Xie, Zhiyuan Liu, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun, Maosong Sun   +12 more
doaj   +1 more source

Survey of Reinforcement Learning Based Recommender Systems [PDF]

Jisuanji kexue, 2021
Recommender systems are devoted to find and automatically recommend valuable information and services for users from massive data,which can effectively solve the information overload problem,and become an important information technology in the era of ...
YU Li, DU Qi-han, YUE Bo-yan, XIANG Jun-yao, XU Guan-yu, LENG You-fang
doaj   +1 more source