Recommender Systems Handbook (Editor)/ (Editor) - 5 Angebote vergleichen
| Preise | 2011 | 2013 | 2014 | 2015 | 2016 |
|---|---|---|---|---|---|
| Schnitt | Fr. 146.50 (€ 149.69)¹ | Fr. 145.87 (€ 149.04)¹ | Fr. 150.40 (€ 153.67)¹ | Fr. 176.17 (€ 180.00)¹ | Fr. 143.33 (€ 146.44)¹ |
| Nachfrage |
1
Recommender Systems Handbook (2010)
EN HC NWISBN: 9780387858197 bzw. 0387858199, in Englisch, 842 Seiten, 2011. Ausgabe, Springer, gebundenes Buch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, sweethomeliquid2.
The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven to be a valuable way for online users to cope with the information overload and have become one of the most powerful and popular tools in electronic commerce. Correspondingly, various techniques for recommendation generation have been proposed. During the last decade, many of them have also been successfully deployed in commercial environments.Recommender Systems Handbook, an edited volume, is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision support systems, marketing, and consumer behavior. Theoreticians and practitioners from these fields continually seek techniques for more efficient, cost-effective and accurate recommender systems. This handbook aims to impose a degree of order on this diversity, by presenting a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, challenges and applications. Extensive artificial applications, a variety of real-world applications, and detailed case studies are included.Recommender Systems Handbook illustrates how this technology can support the user in decision-making, planning and purchasing processes. It works for well known corporations such as Amazon, Google, Microsoft and AT&T. This handbook is suitable for researchers and advanced-level students in computer science as a reference., Hardcover, Ausgabe: 2011, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2010-10-28, Studio: Springer, Verkaufsrang: 1035540.
Von Händler/Antiquariat, sweethomeliquid2.
The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven to be a valuable way for online users to cope with the information overload and have become one of the most powerful and popular tools in electronic commerce. Correspondingly, various techniques for recommendation generation have been proposed. During the last decade, many of them have also been successfully deployed in commercial environments.Recommender Systems Handbook, an edited volume, is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision support systems, marketing, and consumer behavior. Theoreticians and practitioners from these fields continually seek techniques for more efficient, cost-effective and accurate recommender systems. This handbook aims to impose a degree of order on this diversity, by presenting a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, challenges and applications. Extensive artificial applications, a variety of real-world applications, and detailed case studies are included.Recommender Systems Handbook illustrates how this technology can support the user in decision-making, planning and purchasing processes. It works for well known corporations such as Amazon, Google, Microsoft and AT&T. This handbook is suitable for researchers and advanced-level students in computer science as a reference., Hardcover, Ausgabe: 2011, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2010-10-28, Studio: Springer, Verkaufsrang: 1035540.
2
Recommender Systems Handbook (2011)
EN NWISBN: 9780387858197 bzw. 0387858199, in Englisch, Springer, Berlin, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Syndikat Buchdienst, [4235284].
KURZE BESCHREIBUNG/ANMERKUNGEN: This multi-disciplinary volume features contributions from experts in fields as various as artificial intelligence and consumer behavior. It covers the key concepts in recommender systems and includes real-world applications and detailed case studies. AUSFÜHRLICHERE BESCHREIBUNG: The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven to be a valuable way for online users to cope with the information overload and have become one of the most powerful and popular tools in electronic commerce. Correspondingly, various techniques for recommendation generation have been proposed. During the last decade, many of them have also been successfully deployed in commercial environments.Recommender Systems Handbook , an edited volume, is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision support systems, marketing, and consumer behavior. Theoreticians and practitioners from these fields continually seek techniques for more efficient, cost-effective and accurate recommender systems. This handbook aims to impose a degree of order on this diversity, by presenting a coherent and unified repository of recommender systems major concepts, theories, methodologies, trends, challenges and applications. Extensive artificial applications, a variety of real-world applications, and detailed case studies are included.Recommender Systems Handbook illustrates how this technology can support the user in decision-making, planning and purchasing processes. It works for well known corporations such as Amazon, Google, Microsoft and AT&T. This handbook is suitable for researchers and advanced-level students in computer science as a reference. INHALT: Preface.- Foundation.- Introduction to Recommender Systems.- Useful AI MR methods for Recommender Systems.- Challenges for Recommender Systems.- Evaluation of Recommender Systems.- Ranking and learning.- Techniques.- Collaborative Filtering Techniques.- Content-Based Techniques.- Knowledge-Based Techniques.- Demographic Techniques.- Conversation Management.- Community Based Recommender Systems.- Hybrid Techniques.- Visualization of Recommendations.- Group Recommendation.- Explanation of Recommendations.- Advances in Recommender Systems.- Stereotype-based Recommender Systems .- Security, Privacy and Trust in Recommender Systems .- Elicitation of User Preferences.- Ontologies and Semantic Web Technologies for Recommender Systems.- Recommendations and Search Engines.- Applications.- Application in Tourism.- Mobile Recommenders.- News Recommendations.- Multimedia Recommendations.- Index. BIOGRAFIE Ricci, Francesco: Francesco Ricci is the recipient of numerous academic awards and scholarships. Aside from academic research, Mr. Ricci's industrial experience includes short tenures at Air Products and Chemicals, Inc. and Bristol-Myers Squibb. He has lectured at the undergraduate level on chemical engineering thermodynamics as well as on reactor design. Buch, gebundene Ausgabe.
Syndikat Buchdienst, [4235284].
KURZE BESCHREIBUNG/ANMERKUNGEN: This multi-disciplinary volume features contributions from experts in fields as various as artificial intelligence and consumer behavior. It covers the key concepts in recommender systems and includes real-world applications and detailed case studies. AUSFÜHRLICHERE BESCHREIBUNG: The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven to be a valuable way for online users to cope with the information overload and have become one of the most powerful and popular tools in electronic commerce. Correspondingly, various techniques for recommendation generation have been proposed. During the last decade, many of them have also been successfully deployed in commercial environments.Recommender Systems Handbook , an edited volume, is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision support systems, marketing, and consumer behavior. Theoreticians and practitioners from these fields continually seek techniques for more efficient, cost-effective and accurate recommender systems. This handbook aims to impose a degree of order on this diversity, by presenting a coherent and unified repository of recommender systems major concepts, theories, methodologies, trends, challenges and applications. Extensive artificial applications, a variety of real-world applications, and detailed case studies are included.Recommender Systems Handbook illustrates how this technology can support the user in decision-making, planning and purchasing processes. It works for well known corporations such as Amazon, Google, Microsoft and AT&T. This handbook is suitable for researchers and advanced-level students in computer science as a reference. INHALT: Preface.- Foundation.- Introduction to Recommender Systems.- Useful AI MR methods for Recommender Systems.- Challenges for Recommender Systems.- Evaluation of Recommender Systems.- Ranking and learning.- Techniques.- Collaborative Filtering Techniques.- Content-Based Techniques.- Knowledge-Based Techniques.- Demographic Techniques.- Conversation Management.- Community Based Recommender Systems.- Hybrid Techniques.- Visualization of Recommendations.- Group Recommendation.- Explanation of Recommendations.- Advances in Recommender Systems.- Stereotype-based Recommender Systems .- Security, Privacy and Trust in Recommender Systems .- Elicitation of User Preferences.- Ontologies and Semantic Web Technologies for Recommender Systems.- Recommendations and Search Engines.- Applications.- Application in Tourism.- Mobile Recommenders.- News Recommendations.- Multimedia Recommendations.- Index. BIOGRAFIE Ricci, Francesco: Francesco Ricci is the recipient of numerous academic awards and scholarships. Aside from academic research, Mr. Ricci's industrial experience includes short tenures at Air Products and Chemicals, Inc. and Bristol-Myers Squibb. He has lectured at the undergraduate level on chemical engineering thermodynamics as well as on reactor design. Buch, gebundene Ausgabe.
3
a cura di: Francesco Ricci, a cura di: Lior Rokach, a cura di: Bracha Shapira, a cura di: Paul B. Kantor
Recommender Systems Handbook (2010)
EN NWISBN: 9780387858197 bzw. 0387858199, in Englisch, 842 Seiten, 2011. Ausgabe, Springer-Verlag New York Inc (C), neu.
Neu ab: EUR 176,79 (4 Angebote)
Gebraucht ab: EUR 119,95 (3 Angebote)
Zu den weiteren 7 Angeboten bei Amazon.it (Int.)
Lieferung aus: Italien, Generalmente spedito in 24 ore.
Von Händler/Antiquariat, Amazon.it.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, Amazon.it.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
4
a cura di: Francesco Ricci, a cura di: Lior Rokach, a cura di: Bracha Shapira, a cura di: Paul B. Kantor
Recommender Systems Handbook (2010)
EN USISBN: 9780387858197 bzw. 0387858199, in Englisch, 842 Seiten, 2011. Ausgabe, Springer-Verlag New York Inc (C), gebraucht.
Neu ab: EUR 176,79 (4 Angebote)
Gebraucht ab: EUR 119,95 (3 Angebote)
Zu den weiteren 7 Angeboten bei Amazon.it (Int.)
Lieferung aus: Italien, Generalmente spedito in 1-2 giorni lavorativi.
Von Händler/Antiquariat, EliteDigital IT.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, EliteDigital IT.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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