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:

Patrick Cédric Munz

Date Deposited:

12 Mar 2018 15:31

Last Modified:

18 Oct 2018 15:36

BORIS DOI:

10.7892/boris.105394

URI:

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

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