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A comprehensive survey on poisoning attacks and countermeasures in machine learning
The prosperity of machine learning has been accompanied by increasing attacks on the
training process. Among them, poisoning attacks have become an emerging threat during …
training process. Among them, poisoning attacks have become an emerging threat during …
A survey on adversarial recommender systems: from attack/defense strategies to generative adversarial networks
Latent-factor models (LFM) based on collaborative filtering (CF), such as matrix factorization
(MF) and deep CF methods, are widely used in modern recommender systems (RS) due to …
(MF) and deep CF methods, are widely used in modern recommender systems (RS) due to …
Effects of artificial Intelligence–Enabled personalized recommendations on learners' learning engagement, motivation, and outcomes in a flipped classroom
The flipped classroom approach is aimed at improving learning outcomes by promoting
learning motivation and engagement. Recommendation systems can also be used to …
learning motivation and engagement. Recommendation systems can also be used to …
[كتاب][B] Cultural analytics
L Manovich - 2020 - books.google.com
A book at the intersection of data science and media studies, presenting concepts and
methods for computational analysis of cultural data. How can we see a billion images? What …
methods for computational analysis of cultural data. How can we see a billion images? What …
Algorithmic effects on the diversity of consumption on spotify
On many online platforms, users can engage with millions of pieces of content, which they
discover either organically or through algorithmically-generated recommendations. While …
discover either organically or through algorithmically-generated recommendations. While …
Macro graph neural networks for online billion-scale recommender systems
Predicting Click-Through Rate (CTR) in billion-scale recommender systems poses a long-
standing challenge for Graph Neural Networks (GNNs) due to the overwhelming …
standing challenge for Graph Neural Networks (GNNs) due to the overwhelming …
Item-side fairness of large language model-based recommendation system
Recommendation systems for Web content distribution intricately connect to the information
access and exposure opportunities for vulnerable populations. The emergence of Large …
access and exposure opportunities for vulnerable populations. The emergence of Large …
The science of YouTube: What factors influence user engagement with online science videos?
As the reach of science content in traditional media declines, many institutions and scientists
are turning to YouTube as a powerful tool for communicating directly with non-expert …
are turning to YouTube as a powerful tool for communicating directly with non-expert …
Science communication on YouTube: Factors that affect channel and video popularity
YouTube has become one of the largest websites on the Internet. Among its many genres,
both professional and amateur science communicators compete for audience attention. This …
both professional and amateur science communicators compete for audience attention. This …
Federated deep reinforcement learning for recommendation-enabled edge caching in mobile edge-cloud computing networks
To support rapidly increasing services and applications from users, multi-tier computing is
emerged as a promising system-level computing architecture by distributing …
emerged as a promising system-level computing architecture by distributing …