The Differences between Recommender Technologies in their Impact on Sales Diversity

Matt, C; Hess, T; Weiss, C (2013). The Differences between Recommender Technologies in their Impact on Sales Diversity. In: International Conference on Information Systems. Milan, Italy. 15.-18.12.2013.

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Recommender systems are frequently used as part of online shops to help
consumers browse through large product offerings by recommending those
products which are the most relevant for them. Although consumers’
interactions with recommender systems have been subject to substantial
research, it is still unclear what the effect on aggregated sales diversity is,
i.e. whether this leads to predominance of fast-selling or niche products. It
is also unclear, whether any potential effects would differ between specific
recommender technologies.
We created a realistic web-experiment to monitor consumer behavior while
purchasing digital music tracks when different recommender technologies
are present. To analyze potential changes in sales diversity we used the
Gini coefficient as well as additional measures. We found that sales
diversity increases for all recommender technologies, except for bestseller
lists. Furthermore, the differences across recommender technologies are
rather small. Our findings have significant implications for online retailers
and for producers.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems > Information Management
03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems

UniBE Contributor:

Matt, Christian

Subjects:

000 Computer science, knowledge & systems
300 Social sciences, sociology & anthropology > 330 Economics

Series:

Proceedings of the 34th International Conference on Information Systems

Projects:

[852] Digitale Empfehlungen Official URL

Language:

English

Submitter:

Michelle Deborah Rohrer

Date Deposited:

12 Mar 2018 15:31

Last Modified:

25 Nov 2019 10:56

BORIS DOI:

10.7892/boris.105394

URI:

https://boris.unibe.ch/id/eprint/105394

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