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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29 Matt Hess Weiß (2013) - The Differences between Recommender Technologies in their Impact on Sales Diversity.pdf - Published Version Restricted to registered users only Available under License Publisher holds Copyright. Download (833kB) | Request a copy |
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: |
Yves Roulin |
Date Deposited: |
12 Mar 2018 15:31 |
Last Modified: |
06 Feb 2024 14:59 |
BORIS DOI: |
10.7892/boris.105394 |
URI: |
https://boris.unibe.ch/id/eprint/105394 |
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