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ORCIDBIAS 2020: Lisbon, Portugal
- Ludovico Boratto
, Stefano Faralli, Mirko Marras, Giovanni Stilo:
Bias and Social Aspects in Search and Recommendation - First International Workshop, BIAS 2020, Lisbon, Portugal, April 14, 2020, Proceedings. Communications in Computer and Information Science 1245, Springer 2020, ISBN 978-3-030-52484-5 - Sahil Verma, Ruoyuan Gao, Chirag Shah:
Facets of Fairness in Search and Recommendation. 1-11 - Susan Leavy, Gerardine Meaney, Karen Wade, Derek Greene:
Mitigating Gender Bias in Machine Learning Data Sets. 12-26 - Tobias D. Krafft, Marc P. Hauer, Katharina A. Zweig:
Why Do We Need to Be Bots? What Prevents Society from Detecting Biases in Recommendation Systems. 27-34 - Emma J. Gerritse, Arjen P. de Vries:
Effect of Debiasing on Information Retrieval. 35-42 - Dimitris Paraschakis, Bengt J. Nilsson:
Matchmaking Under Fairness Constraints: A Speed Dating Case Study. 43-57 - Wesley Silva, Marcos Spalenza, Jean-Rémi Bourguet, Elias de Oliveira:
Recommendation Filtering à la carte for Intelligent Tutoring Systems. 58-65 - Giannis Konstantakis, Gianins Promponas, Manthos Dretakis, Panagiotis Papadakos:
[inline-graphic not available: see fulltext]: Exploring the Bias of Web Domains Through the Eyes of Users. 66-71 - Sihem Amer-Yahia, Anh Tho Le, Eric Simon:
Data Pipelines for Personalized Exploration of Rated Datasets. 72-78 - Javier Sanz-Cruzado, Pablo Castells:
Beyond Accuracy in Link Prediction. 79-94 - Guilherme Ramos, Carlos Caleiro:
A Novel Similarity Measure for Group Recommender Systems with Optimal Time Complexity. 95-109 - Lorena Recalde, Ricardo Baeza-Yates:
What Kind of Content Are You Prone to Tweet? Multi-topic Preference Model for Tweeters. 110-126 - Mohammad Aliannejadi, Fabio Crestani:
Venue Suggestion Using Social-Centric Scores. 127-142 - Seyed Amin Mirlohi Falavarjani, Hawre Hosseini, Ebrahim Bagheri:
The Impact of Foursquare Checkins on Users' Emotions on Twitter. 143-151 - Xiao Bai, Berkant Barla Cambazoglu, Francesco Gullo, Amin Mantrach, Fabrizio Silvestri:
Improving News Personalization Through Search Logs. 152-166 - Alessandro Celi, Alejandro Piad, Jósval Díaz Blanco, Romina Eramo:
Analyzing the Interaction of Users with News Articles to Create Personalization Services. 167-180 - Luiz Mario Lustosa Pascoal, Hugo Alexandre Dantas do Nascimento, Thierson Couto Rosa, Edjalma Queiroz da Silva, Everton Lima Aleixo:
Using String-Comparison Measures to Improve and Evaluate Collaborative Filtering Recommender Systems. 181-194 - Tiago de Melo, Altigran S. da Silva, Edleno Silva de Moura, Pável Calado:
Enriching Product Catalogs with User Opinions. 195-204
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