Affective video recommender systems: A survey by Dandan Wang, Xiaoming Zhao

Subjects: “…affective video recommender system…”
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Survey of Recommender Systems Based on Graph Learning by CHENG Zhang-tao, ZHONG Ting, ZHANG Sheng-ming, ZHOU Fan

Subjects: “…recommender system|collaborative filtering|graph learning…”
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A Survey on Quantum Computing for Recommendation Systems by Giovanni Pilato, Filippo Vella

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Model of Personal Discount Sensitivity in Recommender Systems by Masahiro Sato, Hidetaka Izumo, Takashi Sonoda

“… Recommender systems help users to encounter information or items that are of interest to them. …”
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Large Language Models as Recommendation Systems in Museums by Georgios Trichopoulos, Markos Konstantakis, Georgios Alexandridis, George Caridakis

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Feature Selection for Recommender Systems with Quantum Computing by Riccardo Nembrini, Maurizio Ferrari Dacrema, Paolo Cremonesi

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The research trends in recommender systems for e-learning by Jiemin Zhong, Haoran Xie, Fu Lee Wang

Subjects: “…assessment of e-learning recommender system…”
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A survey on multi-objective recommender systems by Dietmar Jannach, Himan Abdollahpouri

Subjects: “…recommender systems…”
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Kibitz : a framework for creating recommender systems by Sun, Brian John

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Use of discrete choice models with recommender systems by Chaptini, Bassam H., 1978-

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HIN embedding learning by aspect for recommendation systems by Chen, Jieyi

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A survey on reinforcement learning for recommender systems by Lin, Yuanguo, Liu, Yong, Lin, Fan, Zou, Lixin, Wu, Pengcheng, Zeng, Wenhua, Chen, Huanhuan, Miao, Chunyan

“…Recommender systems have been widely applied in different real-life scenarios to help us find useful information. …”
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Peer to peer federated learning in recommendation systems by Khanna, Siddid

“…Recommendation systems play an important role in personalising user experiences by anticipating preferences and suggesting related products. …”
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Enhancing recommender systems via data augmentation by Zhang, Lingzi

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Ethical aspects of multi-stakeholder recommendation systems by Milano, S, Taddeo, M, Floridi, L

“…In this article we analyze the ethical aspects of multistakeholder recommendation systems (RSs). Following the most common approach in the literature, we assume a consequentialist framework to introduce the main concepts of multistakeholder recommendation. …”

Multiobjective deep reinforcement learning for recommendation systems by Ee, Yeo Keat, Mohd Sharef, Nurfadhlina, Yaakob, Razali, Kasmiran, Khairul Azhar, Marlisah, Erzam, Mustapha, Norwati, Zolkepli, Maslina

“…Most existing recommendation systems (RSs) are primarily concerned about the accuracy of rating prediction and only recommending popular items. …”

Mining web navigation profiles for recommendation systems by AlMurtadha, Yahya M., Sulaiman, Md. Nasir, Mustapha, Norwati, Udzir, Nur Izura

“…The output is a set of discovered patterns which form the main input to the recommendation systems which in return predict the next web navigations. …”
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Ontology based recommendation system for research communities by Abdul Razak, Siti Hajar

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Review of the temporal recommendation system with matrix factorization by Al-Hadi, Ismail Ahmed Al-Qasem, Mohd Sharef, Nurfadhlina, Sulaiman, Md. Nasir, Mustapha, Norwati

“…The temporal recommendation system (TRS) is designed for providing users with an accurate prediction based on the history of their behaviour during a precise time. …”
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Performance improvement for recommender systems using ontology by Bagherifard, K., Rahmani, M., Nilashi, M., Rafe, V.

“…Recommender systems have emerged in the e-commerce domain and have been developed to actively recommend appropriate items to online users. …”