000			03624cam a2200553Ii 4500
003			OCoLC
005			20240806125537.0
008			210628s2021 sz a o 101 0 eng d
020			_a9783030788186
020			_a3030788180
020			_z9783030788179
020			_z3030788172
041			_aEnglish
049			_aMAIN
072		7	_aUT _2bicssc
072		7	_aCOM069000 _2bisacsh
072		7	_aUT _2thema
082	0	4	_a025.04 _223 _bBOR
111	2		_aInternational Workshop on Algorithmic Bias in Search and Recommendation _n(2nd : _d2021 : _cOnline).
245	1	0	_aAdvances in bias and fairness in information retrieval : _bsecond International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, Lucca, Italy, April 1, 2021 : proceedings / _cLudovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo (eds.).
260			_aCham : _bSpringer, _c2021.
300			_a1 online resource : _billustrations (chiefly color).
490	1		_aCommunications in computer and information science, _x1865-0929 ; _v1418.
500			_aInternational conference proceedings.
500			_aIncludes author index.
505	0		_aTowards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features -- Media Bias Everywhere? A Vision for Dealing with the Manipulation of Public Opinion -- Users' Perception of Search-Engine Biases and Satisfaction -- Preliminary Experiments to Examine the Stability of Bias-Aware Techniques -- Detecting Race and Gender Bias in Visual Representation of AI on Web Search Engines -- Equality of Opportunity in Ranking: A Fair-Distributive Model -- Incentives for Item Duplication under Fair Ranking Policies -- Quantification of the Impact of Popularity Bias in Multi-Stakeholder and Time-Aware Environment -- When is a Recommendation Model Wrong? A Model-Agnostic Tree-Based Approach to Detecting Biases in Recommendations -- Evaluating Video Recommendation Bias on YouTube -- An Information-Theoretic Measure for Enabling Category Exemptions with an Application to Filter Bubbles -- Perception-Aware Bias Detection for Query Suggestions -- Crucial Challenges in Large-Scale Black Box Analyses -- New Performance Metrics for Offline Content-based TV Recommender Systems.
506			_aAccess restricted to subscribing institutions.
520			_aThis book constitutes refereed proceedings of the Second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, held in April, 2021. Due to the COVID-19 pandemic BIAS 2021 was held virtually. The 11 full papers and 3 short papers were carefully reviewed and selected from 37 submissions. The papers cover topics that go from search and recommendation in online dating, education, and social media, over the impact of gender bias in word embeddings, to tools that allow to explore bias and fairnesson the Web. .
650		0	_aInformation retrieval
650		0	_aInformation filtering systems
650		0	_aComputer algorithms
650		0	_vCongresses.
650		0	_vCongresses.
650		0	_vCongresses.
700	1		_aBoratto, Ludovico,
700	1		_aFaralli, Stefano,
700	1		_aMarras, Mirko,
700	1		_aStilo, Giovanni,
700	1		_eeditor.
700	1		_eeditor.
700	1		_eeditor.
700	1		_eeditor.
711	2		_aEuropean Conference on IR Research _n(43rd : _d2021 : _cOnline)
830		0	_aCommunications in computer and information science ; _v1418.
856	4	0	_uhttps://ezproxy.lib.gla.ac.uk/login?url=https://link.springer.com/10.1007/978-3-030-78818-6
856	4	0	_zConnect to e-book
907			_a.b37983842
942			_2ddc _cBOOKS
999			_c43324 _d43324