Personalization Beyond Recommender Systems
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Authors
Author (Corporation)
Publication date
2006
Typ of student thesis
Course of study
Collections
Type
04B - Conference paper
Editors
Editor (Corporation)
Supervisor
Parent work
IFIP International Federation for Information Processing
Special issue
DOI of the original publication
Link
Series
Project E-Society: Building Bricks
Series number
Volume
Issue / Number
Pages / Duration
126-139
Patent number
Publisher / Publishing institution
Springer
Place of publication / Event location
Boston
Edition
Version
Programming language
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Practice partner / Client
Abstract
Personalization is an interdisciplinary topic that has been discussed in the literature of marketing and information systems as well as in other research areas. In this paper we present findings from a longitudinal research project on personalization of e-commerce systems. The findings were taken from interviews and software development projects with company partners (action research). The main contribution described in this paper is the Personalization Map. The map provides an extensive overview on personalization functions that can be used to individualize and improve human-computer-interaction both in B2C and B2B e-commerce environments. In a first step, the functions are classified according to their order of appearance in the buying process. In a second step they are grouped into subcategories. There is no single strategy for selecting successful personalization functions as the suitability varies depending on the industry and the goods sold.
Keywords
CRM, Customer Profiles, Customer Relationship Management, E-Commerce, E-Shop, EC-Applikationen, Personalisierung
Subject (DDC)
330 - Wirtschaft
005 - Computer Programmierung, Programme und Daten
005 - Computer Programmierung, Programme und Daten
Event
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ISBN
0-387-39226-2
ISSN
Language
English
Created during FHNW affiliation
Unknown
Strategic action fields FHNW
Publication status
Published
Review
No peer review
Open access category
License
Citation
SCHUBERT, Petra, Uwe LEIMSTOLL und Daniel RISCH, 2006. Personalization Beyond Recommender Systems. In: IFIP International Federation for Information Processing. Boston: Springer. 2006. S. 126–139. Project E-Society: Building Bricks. ISBN 0-387-39226-2. Verfügbar unter: https://doi.org/10.26041/fhnw-3074