Advances in Bias and Fairness in Information Retrieval
Advances in Bias and Fairness in Information Retrieval [electronic resource] :
edited by Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo.
- 1st ed. 2023.
- Cham Springer Nature Switzerland 2023
- X, 177 p. 43 illus., 37 illus. in color. online resource.
This book constitutes the refereed proceedings of the 4th International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2023, held in Dublin, Ireland, in April 2023. The 10 full papers and 4 short papers included in this book were carefully reviewed and selected from 36 submissions. The present recent research in the following topics: biases exploration and assessment; mitigation strategies against biases; biases in newly emerging domains of application, including healthcare, Wikipedia, and news, novel perspectives; and conceptualizations of biases in the context of generative models and graph neural networks.
9783031372490
Artificial intelligence.
Artificial Intelligence.
Computer Engineering and Networks.
Computer engineering.
Computer networks .
e-Commerce and e-Business.
Electronic commerce.
621.39;004.6
This book constitutes the refereed proceedings of the 4th International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2023, held in Dublin, Ireland, in April 2023. The 10 full papers and 4 short papers included in this book were carefully reviewed and selected from 36 submissions. The present recent research in the following topics: biases exploration and assessment; mitigation strategies against biases; biases in newly emerging domains of application, including healthcare, Wikipedia, and news, novel perspectives; and conceptualizations of biases in the context of generative models and graph neural networks.
9783031372490
Artificial intelligence.
Artificial Intelligence.
Computer Engineering and Networks.
Computer engineering.
Computer networks .
e-Commerce and e-Business.
Electronic commerce.
621.39;004.6