000			01896nam a2200349Ia 4500
000			03758nam a22003855i 4500
001			978-3-031-37249-0
003			DE-He213
005			20240319121004.0
007			cr nn 008mamaa
008			230714s2023 sz | s |||| 0|eng d
020			_a9783031372490 _9978-3-031-37249-0
082			_a621.39;004.6
245			_aAdvances in Bias and Fairness in Information Retrieval _cedited by Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo. _h[electronic resource] :
250			_a1st ed. 2023.
260			_aCham _bSpringer Nature Switzerland _c2023
300			_aX, 177 p. 43 illus., 37 illus. in color. _bonline resource.
520			_aThis 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.
650			_aArtificial intelligence. _934632
650			_aArtificial Intelligence. _934633
650			_aComputer Engineering and Networks. _934634
650			_aComputer engineering. _934635
650			_aComputer networks . _934636
650			_ae-Commerce and e-Business. _934637
650			_aElectronic commerce. _934638
700			_aBoratto, Ludovico. _934639
700			_aFaralli, Stefano. _934640
700			_aMarras, Mirko. _934641
700			_aStilo, Giovanni. _934642
856			_uhttps://doi.org/10.1007/978-3-031-37249-0
942			_cEBK _2ddc
999			_c15493 _d15493