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121
Affective video recommender systems: A survey
Published 2022-08-01Subjects: “…affective video recommender system…”
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122
Survey of Recommender Systems Based on Graph Learning
Published 2022-09-01Subjects: “…recommender system|collaborative filtering|graph learning…”
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123
A Survey on Quantum Computing for Recommendation Systems
Published 2022-12-01Subjects: Get full text
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124
Model of Personal Discount Sensitivity in Recommender Systems
Published 2016-03-01“… Recommender systems help users to encounter information or items that are of interest to them. …”
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125
Large Language Models as Recommendation Systems in Museums
Published 2023-09-01Subjects: Get full text
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126
Feature Selection for Recommender Systems with Quantum Computing
Published 2021-07-01Subjects: Get full text
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127
The research trends in recommender systems for e-learning
Published 2019-01-01Subjects: “…assessment of e-learning recommender system…”
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128
A survey on multi-objective recommender systems
Published 2023-03-01Subjects: “…recommender systems…”
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129
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HIN embedding learning by aspect for recommendation systems
Published 2020Get full text
Thesis-Master by Coursework -
132
A survey on reinforcement learning for recommender systems
Published 2023“…Recommender systems have been widely applied in different real-life scenarios to help us find useful information. …”
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Journal Article -
133
Peer to peer federated learning in recommendation systems
Published 2024“…Recommendation systems play an important role in personalising user experiences by anticipating preferences and suggesting related products. …”
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Final Year Project (FYP) -
134
Enhancing recommender systems via data augmentation
Published 2024Subjects: Get full text
Thesis-Doctor of Philosophy -
135
Ethical aspects of multi-stakeholder recommendation systems
Published 2020“…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. …”
Journal article -
136
Multiobjective deep reinforcement learning for recommendation systems
Published 2022“…Most existing recommendation systems (RSs) are primarily concerned about the accuracy of rating prediction and only recommending popular items. …”
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137
Mining web navigation profiles for recommendation systems
Published 2010“…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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Review of the temporal recommendation system with matrix factorization
Published 2017“…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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140
Performance improvement for recommender systems using ontology
Published 2017“…Recommender systems have emerged in the e-commerce domain and have been developed to actively recommend appropriate items to online users. …”
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