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000938518 019__ $$a1178999449$$a1182445935$$a1182914560$$a1183931806
000938518 020__ $$a9783030524852$$q(electronic book)
000938518 020__ $$a303052485X$$q(electronic book)
000938518 020__ $$z9783030524845
000938518 0247_ $$a10.1007/978-3-030-52485-2$$2doi
000938518 0248_ $$a10.1007/978-3-030-52
000938518 035__ $$aSP(OCoLC)on1178632439
000938518 035__ $$aSP(OCoLC)1178632439$$z(OCoLC)1178999449$$z(OCoLC)1182445935$$z(OCoLC)1182914560$$z(OCoLC)1183931806
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000938518 049__ $$aISEA
000938518 050_4 $$aZA3084
000938518 08204 $$a005.5/6$$223
000938518 1112_ $$aBIAS (Workshop)$$n(1st :$$d2020 :$$cOnline)
000938518 24510 $$aBias and social aspects in search and recommendation :$$bfirst International Workshop, BIAS 2020, Lisbon, Portugal, April 14, Proceedings /$$cLudovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo (eds.).
000938518 2463_ $$aBIAS 2020
000938518 260__ $$aCham :$$bSpringer,$$c2020.
000938518 300__ $$a1 online resource (216 pages).
000938518 336__ $$atext$$btxt$$2rdacontent
000938518 337__ $$acomputer$$bc$$2rdamedia
000938518 338__ $$aonline resource$$bcr$$2rdacarrier
000938518 4901_ $$aCommunications in Computer and Information Science ;$$v1245
000938518 500__ $$aInternational conference proceedings.
000938518 500__ $$a"Due to the COVID-19 pandemic BIAS 2020 was held virtually."
000938518 500__ $$aIncludes author index.
000938518 5050_ $$aFacets of Fairness in Search and Recommendation -- Mitigating Gender Bias in Machine Learning Data Sets -- Why Do We Need To Be Bots? What Prevents Society From Detecting Biases in Recommendation Systems -- Effect of Debiasing on Information Retrieval -- Matchmaking Under Fairness Constraints: a Speed Dating Case Study -- Recommendation Filtering à la Carte for Intelligent Tutoring Systems -- Bias Goggles -- Exploring the bias of Web Domains through the Eyes of the Users -- Data Pipelines for Personalized Exploration of Rated Datasets -- Beyond Accuracy in Link Prediction -- A Novel Similarity Measure for Group Recommender Systems with Optimal Time Complexity -- What Kind of Content are you Prone to Tweet? Multi-topic Preference Model for Tweeters -- Venue Suggestion Using Social-Centric Scores -- The Impact of Foursquare Checkins on Users Emotions on Twitter -- Improving News Personalization through Search Logs -- Analyzing the Interaction of Users with News Articles to Create Personalization Services -- Using String-Comparison measures to Improve and Evaluate Collaborative Filtering Recommender Systems -- Enriching Product Catalogs with User Opinions.
000938518 506__ $$aAccess limited to authorized users.
000938518 520__ $$aThis book constitutes refereed proceedings of the First International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2020, held in April, 2020. Due to the COVID-19 pandemic BIAS 2020 was held virtually. The 10 full papers and 7 short papers were carefully reviewed and seleced from 44 submissions. The papers cover topics that go from search and recommendation in online dating, education, and social media, over the impact ofgender bias in word embeddings, to tools that allow to explore bias and fairnesson the Web.
000938518 588__ $$aDescription based on print version record.
000938518 650_0 $$aRecommender systems (Information filtering)$$vCongresses.
000938518 650_0 $$aInformation retrieval$$vCongresses.
000938518 650_0 $$aDiscrimination$$vCongresses.
000938518 7001_ $$aBoratto, Ludovico.
000938518 7001_ $$aFaralli, Stefano.
000938518 7001_ $$aMarras, Mirko.
000938518 7001_ $$aStilo, Giovanni.
000938518 77608 $$iPrint version:$$aBoratto, Ludovico$$tBias and Social Aspects in Search and Recommendation : First International Workshop, BIAS 2020, Lisbon, Portugal, April 14, Proceedings$$dCham : Springer International Publishing AG,c2020$$z9783030524845
000938518 830_0 $$aCommunications in computer and information science ;$$v1245.
000938518 852__ $$bebk
000938518 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-52485-2$$zOnline Access$$91397441.1
000938518 909CO $$ooai:library.usi.edu:938518$$pGLOBAL_SET
000938518 980__ $$aEBOOK
000938518 980__ $$aBIB
000938518 982__ $$aEbook
000938518 983__ $$aOnline
000938518 994__ $$a92$$bISE