Search results: Found 4

Listing 1 - 4 of 4
Sort by
Selbstorganisierende Empfehlungssysteme im Internet : eine interdisziplinäre Betrachtung zwischen Technik und Recht

Author:
ISBN: 9783866442337 Year: Pages: XVIII, 245 p. DOI: 10.5445/KSP/1000007969 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:01:58
License:

Loading...
Export citation

Choose an application

Abstract

Die Arbeit untersucht die Einordnung von Peer-to-Peer-Systemen in das Datenschutzrecht und Folgen für selbstorganisierende Empfehlungssysteme. Ein nutzer- und ein objektbasierter Ansatz für ein solches System werden entworfen und evaluiert. Spezifische Vorteile bezüglich Empfehlungsqualität einerseits sowie Skalierbarkeit andererseits werden in einem kombinierten Ansatz vereint. Vorschläge zur Fortentwicklung des Rechts der Peer-to-Peer-Systeme bilden den Abschluss der Dissertation.

An Update Algorithm for Restricted Random Walk Clusters

Author:
ISBN: 9783866441835 Year: Pages: II, 152 p. DOI: 10.5445/KSP/1000007179 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Business and Management
Added to DOAB on : 2019-07-30 20:02:00
License:

Loading...
Export citation

Choose an application

Abstract

This book presents the dynamic extension of the Restricted Random Walk Cluster Algorithm by Schöll and Schöll-Paschinger. The dynamic variant allows to quickly integrate changes in the underlying object set or the similarity matrix into the clusters; the results are indistinguishable from the renewed execution of the original algorithm on the updated data set.

Product Recommendations in E-Commerce Retailing Applications

Author:
Book Series: Forschungsergebnisse der Wirtschaftsuniversitaet Wien ISBN: 9783631566220 Year: Pages: 222 Language: English
Publisher: Peter Lang International Academic Publishing Group
Subject: Business and Management
Added to DOAB on : 2019-01-15 13:32:22
License:

Loading...
Export citation

Choose an application

Abstract

The book deals with product recommendations generated by information systems referred to as recommender systems. Recommender systems assist consumers in making product choices by providing recommendations of the range of products and services offered in an online purchase environment. The quantitative research study investigates the influence of psychographic and sociodemographic determinants on the interest of consumers in personalized online book recommendations. The author presents new findings regarding the interest in recommendations, importance of product reviews for the decision process, motives for submitting ratings as well as comments, and the delivery of recommendations. The results show that opinion seeking, opinion leading, domain specific innovativeness, online shopping experience, and age are important factors in respect of the interest in personalized recommendations.

An Approach for Guiding Developers to Performance and Scalability Solutions

Author:
Book Series: The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner ISSN: 18670067 ISBN: 9783731506980 Year: Volume: 21 Pages: XV, 359 p. DOI: 10.5445/KSP/1000072059 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-28 18:37:01
License:

Loading...
Export citation

Choose an application

Abstract

The quality of enterprise software applications plays a crucial role for the satisfaction of the users and the economic success of the enterprises. Software applications with unsatisfying performance and scalability are perceived by its users as low in quality, as less interesting and less attractive, and cause frustration when preventing the users from attaining their goals. This book proposes an approach for a recommendation system that enables developers who are novices in software perform

Listing 1 - 4 of 4
Sort by
Narrow your search