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ACM RecSys Challenge : proceedings of the 2016 RecSys Challenge : 15 September 2016, Boston, Massachusetts, USA / / chairs, Fabian Abel [and four others] ; sponsor, ACM
ACM RecSys Challenge : proceedings of the 2016 RecSys Challenge : 15 September 2016, Boston, Massachusetts, USA / / chairs, Fabian Abel [and four others] ; sponsor, ACM
Pubbl/distr/stampa New York : , : ACM, , 2016
Descrizione fisica 1 online resource (51 pages)
Disciplina 001.64
Collana ACM International Conference Proceedings Series
Soggetto topico Recommender systems (Information filtering)
Computer algorithms
ISBN 1-4503-4801-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti RecSys Challenge 2016
Proceedings of the Recommender Systems Challenge
Record Nr. UNINA-9910376427403321
New York : , : ACM, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
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ACM transactions on recommender systems
ACM transactions on recommender systems
Pubbl/distr/stampa New York, NY : , : Association for Computing Machinery, , 2023-
Disciplina 006
Soggetto topico Recommender systems (Information filtering)
ISSN 2770-6699
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Association for Computing Machinery transactions on recommender systems
TORS
Transactions on recommender systems
Record Nr. UNINA-9910645943003321
New York, NY : , : Association for Computing Machinery, , 2023-
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
ACM transactions on recommender systems
ACM transactions on recommender systems
Pubbl/distr/stampa New York, NY : , : Association for Computing Machinery, , 2023-
Disciplina 006
Soggetto topico Recommender systems (Information filtering)
ISSN 2770-6699
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Association for Computing Machinery transactions on recommender systems
TORS
Transactions on recommender systems
Record Nr. UNISA-996548961903316
New York, NY : , : Association for Computing Machinery, , 2023-
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in information systems set . Volume 4 Information and recommender systems / / Elsa Negre ; coordinated by Camille Rosenthal-Sabroux
Advances in information systems set . Volume 4 Information and recommender systems / / Elsa Negre ; coordinated by Camille Rosenthal-Sabroux
Autore Negre Elsa
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, New Jersey : , : ISTE : , : Wiley, , 2015
Descrizione fisica 1 online resource (79 pages)
Disciplina 004
Collana Information Systems, Web and Pervasive Computing Series
Soggetto topico Information technology
Recommender systems (Information filtering)
ISBN 1-119-10295-2
1-119-10277-4
1-119-10311-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A few important details before we begin -- Recommender systems -- Key concepts, useful measures and techniques -- Practical implementations -- Evaluating the quality of recommender systems.
Record Nr. UNINA-9910131384003321
Negre Elsa  
Hoboken, New Jersey : , : ISTE : , : Wiley, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in information systems set . Volume 4 Information and recommender systems / / Elsa Negre ; coordinated by Camille Rosenthal-Sabroux
Advances in information systems set . Volume 4 Information and recommender systems / / Elsa Negre ; coordinated by Camille Rosenthal-Sabroux
Autore Negre Elsa
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, New Jersey : , : ISTE : , : Wiley, , 2015
Descrizione fisica 1 online resource (79 pages)
Disciplina 004
Collana Information Systems, Web and Pervasive Computing Series
Soggetto topico Information technology
Recommender systems (Information filtering)
ISBN 1-119-10295-2
1-119-10277-4
1-119-10311-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A few important details before we begin -- Recommender systems -- Key concepts, useful measures and techniques -- Practical implementations -- Evaluating the quality of recommender systems.
Record Nr. UNINA-9910830630803321
Negre Elsa  
Hoboken, New Jersey : , : ISTE : , : Wiley, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied Recommender Systems with Python [[electronic resource] ] : Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques / / by Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, V Adithya Krishnan
Applied Recommender Systems with Python [[electronic resource] ] : Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques / / by Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, V Adithya Krishnan
Autore Kulkarni Akshay
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023
Descrizione fisica 1 online resource (257 pages)
Disciplina 006.3
Soggetto topico Recommender systems (Information filtering)
Machine learning
Neural networks (Computer science)
Python (Computer program language)
Artificial intelligence
ISBN 1-4842-8954-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction to Recommender Systems -- Chapter 2: Association Rule Mining -- Chapter 3: Content and Knowledge-Based Recommender System -- Chapter 4: Collaborative Filtering using KNN -- Chapter 5: Collaborative Filtering Using Matrix Factorization, SVD and ALS -- Chapter 6: Hybrid Recommender System -- Chapter 7: Clustering Algorithm-Based Recommender System -- Chapter 8: Classification Algorithm-Based Recommender System -- Chapter 9: Deep Learning and NLP Based Recommender System -- Chapter 10: Graph-Based Recommender System. - Chapter 11: Emerging Areas and Techniques in Recommender System.
Record Nr. UNINA-9910739476103321
Kulkarni Akshay  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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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. UNINA-9910413447003321
Cham : , : Springer, , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
Building recommendation engines : understand your data and user preferences to make intelligent, accurate, and profitable decisions / / Suresh Kumar Gorakala
Building recommendation engines : understand your data and user preferences to make intelligent, accurate, and profitable decisions / / Suresh Kumar Gorakala
Autore Gorakala Suresh Kumar
Pubbl/distr/stampa Birmingham, England ; ; Mumbai, [India] : , : Packt, , 2016
Descrizione fisica 1 online resource (365 pages)
Disciplina 001.64
Soggetto topico Recommender systems (Information filtering)
Machine learning
Data mining
ISBN 1-78588-353-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910157527703321
Gorakala Suresh Kumar  
Birmingham, England ; ; Mumbai, [India] : , : Packt, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
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CitRec 2017 : proceedings of International Workshop on Citizens for Recommender Systems : 31 August 2017, Como, Italy / / chairs, Jie Yang [and four others] ; sponsor, ACM
CitRec 2017 : proceedings of International Workshop on Citizens for Recommender Systems : 31 August 2017, Como, Italy / / chairs, Jie Yang [and four others] ; sponsor, ACM
Pubbl/distr/stampa New York : , : ACM, , 2017
Descrizione fisica 1 online resource (38 pages)
Disciplina 006
Soggetto topico Recommender systems (Information filtering)
Online social networks
Soggetto genere / forma Electronic books.
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Citizens for Recommender 2017
Proceedings of the International Workshop on Recommender Systems for Citizens
Record Nr. UNINA-9910375849703321
New York : , : ACM, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui