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 |
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 | ||
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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 | ||
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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 | ||
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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 | ||
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Applied Recommender Systems with Python : 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.) |
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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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 |
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 | ||
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DLRS : proceedings of the 1st Workshop on Deep Learning for Recommender Systems : September 15, 2016, Boston, USA / / chairs, Alexandros Karatzoglou [and six others] |
Pubbl/distr/stampa | New York : , : ACM, , 2016 |
Descrizione fisica | 1 online resource (47 pages) |
Disciplina | 006.32 |
Soggetto topico |
Recommender systems (Information filtering)
Neural networks (Computer science) Machine learning |
Soggetto genere / forma | Electronic books. |
ISBN | 1-4503-4795-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti |
Deep Learning for Recommender Systems
Proceedings of the 1st Workshop on Deep Learning for Recommender Systems DLRS 2016 : Workshop on Deep Learning for Recommender Systems : Boston, MA, USA, September 15, 2016 Deep Learning for Recommender Systems 2016 |
Record Nr. | UNINA-9910376436903321 |
New York : , : ACM, , 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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