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A Diary Study of Social Explanations for Recommendations in Daily Life

Publication ,  Conference
Zhang, Z; Jin, Y; Chen, L
Published in: Umap2022 Adjunct Proceedings of the 30th ACM Conference on User Modeling Adaptation and Personalization
July 4, 2022

We report a diary study of the explanations for the recommendations to characterize the social features in these explanations recorded by five participants over two months. The study reveals several social explanation categories (e.g., personal opinions and personal experiences) and their relationship with user contexts (e.g., location, relevant experience) and recommender attributes (e.g., integrity, expertise) illustrated in a network diagram. Specifically, personal opinions and experiences are two prominent social explanations, mainly associated with user contexts (e.g., users' preferences and users' experiences) and several recommender attributes (e.g., politeness, benevolence, and experience). Finally, we discuss several design implications for social explanations and anticipate the value of our findings regarding designing personalized social explanations in recommender systems that aim to build rapport with users, such as conversational recommender systems.

Duke Scholars

Published In

Umap2022 Adjunct Proceedings of the 30th ACM Conference on User Modeling Adaptation and Personalization

DOI

Publication Date

July 4, 2022

Start / End Page

200 / 208
 

Citation

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Zhang, Z., Jin, Y., & Chen, L. (2022). A Diary Study of Social Explanations for Recommendations in Daily Life. In Umap2022 Adjunct Proceedings of the 30th ACM Conference on User Modeling Adaptation and Personalization (pp. 200–208). https://doi.org/10.1145/3511047.3537681
Zhang, Z., Y. Jin, and L. Chen. “A Diary Study of Social Explanations for Recommendations in Daily Life.” In Umap2022 Adjunct Proceedings of the 30th ACM Conference on User Modeling Adaptation and Personalization, 200–208, 2022. https://doi.org/10.1145/3511047.3537681.
Zhang Z, Jin Y, Chen L. A Diary Study of Social Explanations for Recommendations in Daily Life. In: Umap2022 Adjunct Proceedings of the 30th ACM Conference on User Modeling Adaptation and Personalization. 2022. p. 200–8.
Zhang, Z., et al. “A Diary Study of Social Explanations for Recommendations in Daily Life.” Umap2022 Adjunct Proceedings of the 30th ACM Conference on User Modeling Adaptation and Personalization, 2022, pp. 200–08. Scopus, doi:10.1145/3511047.3537681.
Zhang Z, Jin Y, Chen L. A Diary Study of Social Explanations for Recommendations in Daily Life. Umap2022 Adjunct Proceedings of the 30th ACM Conference on User Modeling Adaptation and Personalization. 2022. p. 200–208.

Published In

Umap2022 Adjunct Proceedings of the 30th ACM Conference on User Modeling Adaptation and Personalization

DOI

Publication Date

July 4, 2022

Start / End Page

200 / 208