Recommender systems: an introduction
In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations....
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2011
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 UPA01 Volltext |
| Zusammenfassung: | In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations. This book offers an overview of approaches to developing state-of-the-art recommender systems. The authors present current algorithmic approaches for generating personalized buying proposals, such as collaborative and content-based filtering, as well as more interactive and knowledge-based approaches. They also discuss how to measure the effectiveness of recommender systems and illustrate the methods with practical case studies. The final chapters cover emerging topics such as recommender systems in the social web and consumer buying behavior theory. Suitable for computer science researchers and students interested in getting an overview of the field, this book will also be useful for professionals looking for the right technology to build real-world recommender systems |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (335 pages) |
| ISBN: | 9780511763113 |
| DOI: | 10.1017/CBO9780511763113 |
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| 520 | |a In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations. This book offers an overview of approaches to developing state-of-the-art recommender systems. The authors present current algorithmic approaches for generating personalized buying proposals, such as collaborative and content-based filtering, as well as more interactive and knowledge-based approaches. They also discuss how to measure the effectiveness of recommender systems and illustrate the methods with practical case studies. The final chapters cover emerging topics such as recommender systems in the social web and consumer buying behavior theory. Suitable for computer science researchers and students interested in getting an overview of the field, this book will also be useful for professionals looking for the right technology to build real-world recommender systems | ||
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| 650 | 4 | |a Recommender systems (Information filtering) | |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Allgemeines Informatik Wirtschaftswissenschaften |
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| spelling | Jannach, Dietmar 1973- Verfasser aut Recommender systems an introduction Dietmar Jannach [and three others] Cambridge Cambridge University Press 2011 1 online resource (335 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations. This book offers an overview of approaches to developing state-of-the-art recommender systems. The authors present current algorithmic approaches for generating personalized buying proposals, such as collaborative and content-based filtering, as well as more interactive and knowledge-based approaches. They also discuss how to measure the effectiveness of recommender systems and illustrate the methods with practical case studies. The final chapters cover emerging topics such as recommender systems in the social web and consumer buying behavior theory. Suitable for computer science researchers and students interested in getting an overview of the field, this book will also be useful for professionals looking for the right technology to build real-world recommender systems Personal communication service systems Recommender systems (Information filtering) Empfehlungssystem (DE-588)7511891-9 gnd rswk-swf Empfehlungssystem (DE-588)7511891-9 s 1\p DE-604 Erscheint auch als Druckausgabe 978-0-521-49336-9 https://doi.org/10.1017/CBO9780511763113 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Jannach, Dietmar 1973- Recommender systems an introduction Personal communication service systems Recommender systems (Information filtering) Empfehlungssystem (DE-588)7511891-9 gnd |
| subject_GND | (DE-588)7511891-9 |
| title | Recommender systems an introduction |
| title_auth | Recommender systems an introduction |
| title_exact_search | Recommender systems an introduction |
| title_full | Recommender systems an introduction Dietmar Jannach [and three others] |
| title_fullStr | Recommender systems an introduction Dietmar Jannach [and three others] |
| title_full_unstemmed | Recommender systems an introduction Dietmar Jannach [and three others] |
| title_short | Recommender systems |
| title_sort | recommender systems an introduction |
| title_sub | an introduction |
| topic | Personal communication service systems Recommender systems (Information filtering) Empfehlungssystem (DE-588)7511891-9 gnd |
| topic_facet | Personal communication service systems Recommender systems (Information filtering) Empfehlungssystem |
| url | https://doi.org/10.1017/CBO9780511763113 |
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