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Bias and social aspects in search and recommendation : first International Workshop, BIAS 2020, Lisbon, Portugal, April 14, Proceedings / / Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo (eds.)
| Bias and social aspects in search and recommendation : first International Workshop, BIAS 2020, Lisbon, Portugal, April 14, Proceedings / / Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo (eds.) |
| Pubbl/distr/stampa | Cham : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource : illustrations (chiefly color) |
| Disciplina | 005.56 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Recommender systems (Information filtering)
Information retrieval Discrimination |
| ISBN | 3-030-52485-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Facets 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. |
| Record Nr. | UNISA-996465363503316 |
| Cham : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Bias and Social Aspects in Search and Recommendation : First International Workshop, BIAS 2020, Lisbon, Portugal, April 14, Proceedings / / edited by 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, Proceedings / / edited by Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource : illustrations (chiefly color) |
| Disciplina | 005.56 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Database management
Artificial intelligence Computer engineering Computer networks Social sciences - Data processing Electronic commerce Database Management System Artificial Intelligence Computer Engineering and Networks Computer Application in Social and Behavioral Sciences e-Commerce and e-Business |
| ISBN | 3-030-52485-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Facets 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. |
| Record Nr. | UNINA-9910413447003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recommender System for Improving Customer Loyalty / / by Katarzyna Tarnowska, Zbigniew W. Ras, Lynn Daniel
| Recommender System for Improving Customer Loyalty / / by Katarzyna Tarnowska, Zbigniew W. Ras, Lynn Daniel |
| Autore | Tarnowska Katarzyna |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (133 pages) : illustrations |
| Disciplina |
001.64
005.56 |
| Collana | Studies in Big Data |
| Soggetto topico |
Computational intelligence
Customer relations—Management Data mining Pattern recognition Computational Intelligence Customer Relationship Management Data Mining and Knowledge Discovery Pattern Recognition |
| ISBN | 3-030-13438-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Introduction -- Chapter 2: Customer Loyalty Improvement -- Chapter 3: State of the Art -- Chapter 4: Background -- Chapter 5: Overview of Recommender System Engine -- Chapter 6: Visual Data Analysis -- Chapter 7: Improving Performance of Knowledge Miner -- Chapter 8: Recommender System Based on Unstructured Data -- Chapter 9: Customer Attrition Problem -- Chapter 10: Conclusion. |
| Record Nr. | UNINA-9910739424503321 |
Tarnowska Katarzyna
|
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recommender Systems : The Textbook / / by Charu C. Aggarwal
| Recommender Systems : The Textbook / / by Charu C. Aggarwal |
| Autore | Aggarwal Charu C |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XXI, 498 p. 79 illus., 18 illus. in color.) |
| Disciplina | 005.56 |
| Soggetto topico |
Data mining
Artificial intelligence Data Mining and Knowledge Discovery Artificial Intelligence |
| ISBN | 3-319-29659-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An Introduction to Recommender Systems -- Neighborhood-Based Collaborative Filtering -- Model-Based Collaborative Filtering -- Content-Based Recommender Systems -- Knowledge-Based Recommender Systems -- Ensemble-Based and Hybrid Recommender Systems -- Evaluating Recommender Systems -- Context-Sensitive Recommender Systems -- Time- and Location-Sensitive Recommender Systems -- Structural Recommendations in Networks -- Social and Trust-Centric Recommender Systems -- Attack-Resistant Recommender Systems -- Advanced Topics in Recommender Systems. |
| Record Nr. | UNINA-9910254982703321 |
|
Aggarwal Charu C
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recommender systems in fashion and retail : proceedings of the Third Workshop at the Recommender Systems Conference (2021) / / edited by Nima Dokoohaki, [and three others]
| Recommender systems in fashion and retail : proceedings of the Third Workshop at the Recommender Systems Conference (2021) / / edited by Nima Dokoohaki, [and three others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (116 pages) |
| Disciplina | 005.56 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico | Recommender systems (Information filtering) |
| ISBN | 3-030-94016-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464453403316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Recommender systems in fashion and retail : proceedings of the Third Workshop at the Recommender Systems Conference (2021) / / edited by Nima Dokoohaki, [and three others]
| Recommender systems in fashion and retail : proceedings of the Third Workshop at the Recommender Systems Conference (2021) / / edited by Nima Dokoohaki, [and three others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (116 pages) |
| Disciplina | 005.56 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico | Recommender systems (Information filtering) |
| ISBN | 3-030-94016-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910551842603321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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