Behavior-based recommender systems as value-added services for scientific libraries

12Citations
Citations of this article
33Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Amazon.com paved the way for several large-scale, behavior-based recommendation services as an important value-added expert advice service for online book shops. In this contribution we discuss the effects (and possible reductions of transaction costs) for such services and investigate how such a value-added service can be implemented in the context of scientific libraries. For this purpose we present a new, recently developed recommender system based on a stochastic purchase incidence model, present the underlying stochastic model from repeat-buying theory and analyze whether the underlying assumptions on consumer behavior hold for users of scientific libraries, too. We analyzed the logfiles with approximately 85 million HTTPtransactions of the web-based online public access catalog (OPAC) of the library of the Universitaẗ Karlsruhe (TH) since January 2001 and performed some diagnostic checks. The recommender service is fully operational within the library system of the Universitaẗ Karlsruhe (TH) since 2002/06/22.

Cite

CITATION STYLE

APA

Geyer-Schulz, A., Hahsler, M., Neumann, A., & Thede, A. (2003). Behavior-based recommender systems as value-added services for scientific libraries. In Statistical Data Mining and Knowledge Discovery (pp. 433–454). CRC Press. https://doi.org/10.1201/9780203497159.ch26

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free