Stefano Faralli | Akateeminen Kirjakauppa

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BIAS AND SOCIAL ASPECTS IN SEARCH AND RECOMMENDATION : FIRST INTERNATIONAL WORKSHOP, BIAS 2020, LISBON, PORTUGAL, APRIL 14, PROC

Ludovico Boratto (ed.); Stefano Faralli (ed.); Mirko Marras (ed.); Giovanni Stilo (ed.)
Springer (2020)
Pehmeäkantinen kirja

49,60 €

EXTRACTING, MINING AND PREDICTING USERS’ INTERESTS FROM SOCIAL MEDIA

Fattane Zarrinkalam; Stefano Faralli; Guangyuan Piao; Ebrahim Bagheri
now publishers Inc (2020)
Pehmeäkantinen kirja

101,40 €

ADVANCES IN BIAS AND FAIRNESS IN INFORMATION RETRIEVAL : SECOND INTERNATIONAL WORKSHOP ON ALGORITHMIC BIAS IN SEARCH AND RECOMME

Ludovico Boratto (ed.); Stefano Faralli (ed.); Mirko Marras (ed.); Giovanni Stilo (ed.)
Springer (2021)
Pehmeäkantinen kirja

49,60 €

ADVANCES IN BIAS AND FAIRNESS IN INFORMATION RETRIEVAL : THIRD INTERNATIONAL WORKSHOP, BIAS 2022, STAVANGER, NORWAY, APRIL 10, 2

Ludovico Boratto (ed.); Stefano Faralli (ed.); Mirko Marras (ed.); Giovanni Stilo (ed.)
Springer (2022)
Pehmeäkantinen kirja

64,10 €

ADVANCES IN BIAS AND FAIRNESS IN INFORMATION RETRIEVAL : 4TH INTERNATIONAL WORKSHOP, BIAS 2023, DUBLIN, IRELAND, APRIL 2, 2023,

Ludovico Boratto (ed.); Stefano Faralli (ed.); Mirko Marras (ed.); Giovanni Stilo (ed.)
Springer (2023)
Pehmeäkantinen kirja

64,10 €

Bias and Social Aspects in Search and Recommendation : First International Workshop, BIAS 2020, Lisbon, Portugal, April 14, Proc

Ludovico Boratto (ed.), Stefano Faralli (ed.), Mirko Marras (ed.), Giovanni Stilo (ed.)

49,60 €

Springer
Sivumäärä: 205 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2020, 12.07.2020 (lisätietoa)
Kieli: Englanti
Tuotesarja: Communications in Computer and Information Science 1245

This book constitutes refereed proceedings of the First International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2020, held in April, 2020. Due to the COVID-19 pandemic BIAS 2020 was held virtually.

The 10 full papers and 7 short papers were carefully reviewed and seleced from 44 submissions. The papers cover topics that go from search and recommendation in online dating, education, and social media, over the impact ofgender bias in word embeddings, to tools that allow to explore bias and fairnesson the Web.

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