Paper Info
Title
Persuasion in Knowledge-Based Recommendation
Abstract
Recommendation technologies support users in the identification of interesting products and services. Beside the wide-spread approaches of collaborative and content-based filtering, knowledge-based recommender technologies gain an increasing importance due to their capability of deriving recommendations for complex products such as financial services, technical equipment, or consumer goods. The identification of best-fitting products is in many cases a complex decision making task which forces users to fall back to different types of decision heuristics. This phenomenon is explained by the theory of bounded rationality of users which is due to their limited knowledge and computational capacity. Specifically in the context of recommender applications bounded rationality acts as a door opener for different types of persuasive concepts which can influence a user's attitudes (e.g., in terms of product preferences) and behavior (e.g., in terms of buying behavior). The major goal of this paper is to provide an overview of such persuasive aspects and possible formalizations in knowledge-based recommender systems.
Year
DOI
Venue
2008
10.1007/978-3-540-68504-3_7
PERSUASIVE
Keywords
Field
DocType
persuasive concept,bounded rationality,knowledge-based recommender system,complex decision,persuasive aspect,knowledge-based recommendation,complex product,knowledge-based recommender technology,recommender application,decision heuristics,different type,financial services,recommender system,knowledge base
Recommender system,Social psychology,Persuasion,Computer science,Financial services,Knowledge management,Heuristics,Phenomenon,Bounded rationality
Conference
Volume
ISSN
Citations 
5033
0302-9743
12
PageRank 
References 
Authors
0.75
12
6
Name
Order
Citations
PageRank
Alexander Felfernig11121110.93
Gula, B.2764.12
Gerhard Leitner314514.71
Marco Maier4382.96
Rudolf Melcher5131.47
Erich Teppan6846.73