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An Approach for Guiding Developers to Performance and Scalability Solutions
An Approach for Guiding Developers to Performance and Scalability Solutions
Autore Heger Christoph
Pubbl/distr/stampa KIT Scientific Publishing, 2018
Descrizione fisica 1 electronic resource (XV, 359 p. p.)
Collana The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner
Soggetto non controllato Guidance
Performance-Lösungen
Beratung
Performance Solutions
Performance-Probleme
Decision Making Support
Recommendation System
Performance Problems
Empfehlungssystem
Entscheidungsunterstützung
ISBN 1000072059
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910688575303321
Heger Christoph  
KIT Scientific Publishing, 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Product Recommendations in e-Commerce Retailing Applications
Product Recommendations in e-Commerce Retailing Applications
Autore Knotzer Nicolas
Edizione [First edition.]
Pubbl/distr/stampa Frankfurt am Main : , : Peter Lang GmbH, Internationaler Verlag der Wissenschaften, , 2007
Descrizione fisica 1 online resource (222 pages)
Disciplina 658.8/72
Collana Forschungsergebnisse der Wirtschaftsuniversitaet Wien
Soggetto topico Distribution (Economic theory) - Management
Warehouses - Management
Marketing research
Soggetto non controllato Applications
Buchhandel
Commerce
Electronic Commerce
Empfehlungssystem
Entscheidungsprozess
Knotzer
Konsumentenstudie
Product
Produktempfehlung
Recommendations
Retailing
Verbraucherverhalten
Virtuelle Gemeinschaft
ISBN 3-631-75452-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- 1 Introduction -- 1.1 Research Goal -- 1.2 Contents and Organization -- 2 Recommender Systems - Definition, Classification, and Marketing Perspectives -- 2.1 Working Definitions -- 2.2 Classification -- 2.3 Application Models of Recommender Systems -- 2.3.1 Broad Recommendation Lists -- 2.3.2 Customer Comments and Ratings -- 2.3.3 Notification Services -- 2.3.4 Product Associated Recommendations -- 2.3.5 Persistent Personalization -- 2.4 The Consumer Decision Process -- 2.4.1 Need Recognition -- 2.4.2 Information Search -- 2.4.3 Pre-Purchase Evaluation of Alternatives -- 2.4.4 Purchase -- 2.4.5 Post-Purchase Processes -- 2.5 Virtual Communities -- 2.5.1 Characteristics and Benefits -- 2.5.2 Virtual Communities and Network Effects -- 2.5.3 Community Building -- 3 Recommender Systems - Functional Perspectives -- 3.1 Input Data of Recommender Systems -- 3.2 Output Data of Recommender Systems -- 3.3 Measurement Scales for Preference Elicitation -- 3.4 Information Delivery -- 3.5 Recommendation Methods -- 3.5.1 Non-Personalized Recommendation Methods -- 3.5.2 Personalized Recommendation Methods -- 3.5.2.1 Synopsis of Information Filtering Methods -- 3.5.2.2 Human Approaches towards Information Filtering -- 3.5.2.3 Collaborative Filtering -- 3.5.2.4 Attribute-Based Filtering -- 3.5.2.5 Rules-Based Filtering -- 4 Research Model, Hypotheses, and Methodology -- 4.1 Problem Statement -- 4.2 Research Questions and Model -- 4.3 Methodology and Research Design -- 5 Results -- 5.1 Descriptive Results -- 5.1.1 Sample Size and Demographic Data -- 5.1.2 Internet Usage -- 5.1.3 Online Shopping -- 5.1.4 Online Product Recommendations -- 5.1.5 Ratings and Comments -- 5.2 Verification of the Research Model -- 5.2.1 Exploratory Factor Analysis -- 5.2.2 Psychographic Hypotheses - Structural Equation Model -- 5.2.3 Psychographic Hypotheses - Regression Model.
5.2.4 Sociodemographic Hypotheses -- 6 Summary and Directions for Further Research -- 6.1 Main Findings -- 6.2 Limitations and Directions for Further Research -- Bibliography -- Appendices -- A AMOS Output -- A.1 Survey AUM -- A.2 Survey AON.
Record Nr. UNINA-9910297039503321
Knotzer Nicolas  
Frankfurt am Main : , : Peter Lang GmbH, Internationaler Verlag der Wissenschaften, , 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Selbstorganisierende Empfehlungssysteme im Internet : eine interdisziplinäre Betrachtung zwischen Technik und Recht
Selbstorganisierende Empfehlungssysteme im Internet : eine interdisziplinäre Betrachtung zwischen Technik und Recht
Autore Sorge Christoph
Pubbl/distr/stampa KIT Scientific Publishing, 2008
Descrizione fisica 1 electronic resource (XVIII, 245 p.)
Soggetto non controllato Informationsrecht
Datenschutz
Peer-to-Peer
Empfehlungssystem
Vertrauen
ISBN 1000007969
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Record Nr. UNINA-9910346934403321
Sorge Christoph  
KIT Scientific Publishing, 2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui