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Found 5 papers, 2 papers with code
Behind Recommender Systems: the Geography of the ACM RecSys Community
Recommender Systems filter this information into manageable streams or feeds, adapted to our personal needs or preferences.
Fairness and Diversity in Information Access Systems
Among the seven key requirements to achieve trustworthy AI proposed by the High-Level Expert Group on Artificial Intelligence (AI-HLEG) established by the European Commission (EC), the fifth requirement ("Diversity, non-discrimination and fairness") declares: "In order to achieve Trustworthy AI, we must enable inclusion and diversity throughout the entire AI system's life cycle.
Federated Anomaly Detection over Distributed Data Streams
This work complements the state-of-the-art by adapting the data stream algorithms in a federated learning setting for anomaly detection and by delivering a robust framework and demonstrating the practical feasibility in a real-world distributed deployment scenario.
Proceedings of the 4th Workshop on Online Recommender Systems and User Modeling -- ORSUM 2021
This can be overwhelming for systems and algorithms designed to train in batches, given the continuous and potentially fast change of content, context and user preferences or intents.
AutoFITS: Automatic Feature Engineering for Irregular Time Series
We hypothesise that, in irregular time series, the time at which each observation is collected may be helpful to summarise the dynamics of the data and improve forecasting performance.
