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024 7 _a10.1007/978-3-030-52485-2
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072 7 _aCOM021000
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245 1 0 _aBias and Social Aspects in Search and Recommendation
_h[electronic resource] :
_bFirst International Workshop, BIAS 2020, Lisbon, Portugal, April 14, Proceedings /
_cedited by Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aX, 205 p. 59 illus., 46 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
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338 _aonline resource
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347 _atext file
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490 1 _aCommunications in Computer and Information Science,
_x1865-0937 ;
_v1245
505 0 _aFacets of Fairness in Search and Recommendation -- Mitigating Gender Bias in Machine Learning Data Sets -- Why Do We Need To Be Bots? What Prevents Society From Detecting Biases in Recommendation Systems -- Effect of Debiasing on Information Retrieval -- Matchmaking Under Fairness Constraints: a Speed Dating Case Study -- Recommendation Filtering à la Carte for Intelligent Tutoring Systems -- Bias Goggles - Exploring the bias of Web Domains through the Eyes of the Users -- Data Pipelines for Personalized Exploration of Rated Datasets -- Beyond Accuracy in Link Prediction -- A Novel Similarity Measure for Group Recommender Systems with Optimal Time Complexity -- What Kind of Content are you Prone to Tweet? Multi-topic Preference Model for Tweeters -- Venue Suggestion Using Social-Centric Scores -- The Impact of Foursquare Checkins on Users’ Emotions on Twitter -- Improving News Personalization through Search Logs -- Analyzing the Interaction of Users with News Articles to Create Personalization Services -- Using String-Comparison measures to Improve and Evaluate Collaborative Filtering Recommender Systems -- Enriching Product Catalogs with User Opinions.
520 _aThis 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. .
650 0 _aDatabase management.
650 0 _aArtificial intelligence.
650 0 _aComputer engineering.
650 0 _aComputer networks .
650 0 _aSocial sciences
_xData processing.
650 0 _aElectronic commerce.
650 1 4 _aDatabase Management System.
650 2 4 _aArtificial Intelligence.
650 2 4 _aComputer Engineering and Networks.
650 2 4 _aComputer Application in Social and Behavioral Sciences.
650 2 4 _ae-Commerce and e-Business.
700 1 _aBoratto, Ludovico.
_eeditor.
_4edt
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700 1 _aFaralli, Stefano.
_eeditor.
_4edt
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700 1 _aMarras, Mirko.
_eeditor.
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700 1 _aStilo, Giovanni.
_eeditor.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783030524869
830 0 _aCommunications in Computer and Information Science,
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_v1245
856 4 0 _uhttps://doi.org/10.1007/978-3-030-52485-2
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