Author ORCID Identifier
Document Type
Article
Publication Date
9-26-2020
Publication Title
CEUR Workshop Proceedings
Volume
2686
First Page
57
Last Page
64
Abstract
Meeting other scholars at conferences is often a stochastic, intuition-driven process. Social recommender systems can support identifying new collaboration partners that one might not naturally choose. However, to boost the accumulation of social capital, such systems must be designed for diversifying social connections. This paper draws from the extant theory on social capital and diversity exposure in recommendation systems to discuss the importance of social diversity exposure and presents design directions for social recommender systems for building social capital. As preliminary empirical insights, we report the results of a field study of two diversity-enhancing interfaces in an academic conference. Interestingly, we identified contradictory results between the subjective user feedback on the user interface quality and the objective analysis of clicking and viewing the recommendations. This implies that assessing the overall quality of a diversity-enhancing social recommender system requires careful design of suitable measurements.
Recommended Citation
sai, C. H., Huhtamäki, J., Olsson, T., & Brusilovsky, P. (2020). Diversity Exposure in Social Recommender Systems: A Social Capital Theory Perspective. In CEUR Workshop Proceedings (IntRS ‘20), 2686, 57-64. https://ceur-ws.org/Vol-2682/paper6.pdf
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This is an open access publication that is licensed under Creative Commons Attribution