Relating newcomer personality to survival and activity in recommender systems

Raghav Pavan Karumur; Joseph A. Konstan

doi:10.1145/2930238.2930246

Relating newcomer personality to survival and activity in recommender systems

Raghav Pavan Karumur, Joseph A. Konstan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

In this work, we explore the degree to which personality information can be used to model newcomer retention, investment, intensity of engagement, and distribution of activity in a recommender community. Prior work shows that Big-Five Personality traits can explain variation in user behavior in other contexts. Building on this, we carry out and report on an analysis of 1008 MovieLens users with identified personality profiles. We find that Introverts and low Agreeableness users are more likely to survive into the second and subsequent sessions compared to their respective counterparts; Introverts and low Conscientiousness users are a significantly more active population compared to their respective counterparts; High Openness and High Neuroticism users contribute (tag) significantly more compared to their counterparts, but their counterparts consume (browse and bookmark) more; and low Agreeableness users are more likely to rate whereas high Agreeableness users are more likely to tag. These results show how modeling newcomer behavior from user personality can be useful for recommender systems designers as they customize the system to guide people towards tasks that need to be done or tasks the users will find rewarding and also decide which users to invest retention efforts in.

Original language	English (US)
Title of host publication	UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization
Publisher	Association for Computing Machinery, Inc
Pages	195-205
Number of pages	11
ISBN (Electronic)	9781450343701
DOIs	https://doi.org/10.1145/2930238.2930246
State	Published - Jul 13 2016
Event	24th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2016 - Halifax, Canada Duration: Jul 13 2016 → Jul 17 2016

Publication series

Name	UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization

Other

Other	24th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2016
Country/Territory	Canada
City	Halifax
Period	7/13/16 → 7/17/16

Bibliographical note

Funding Information:
This work was supported by the National Science Foundation under the grant IIS-13-19382. We thank Tien T. Nguyen of GroupLens Research for providing us this dataset and the MovieLens users who took the personality survey. We also thank the anonymous reviewers for their valuable comments.

Publisher Copyright:
© 2016 ACM.

Keywords

Big-Five Personality Traits
New users
Newcomer engagement
Newcomer retention
Personality
Recommender systems

Publisher link

10.1145/2930238.2930246

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Karumur, R. P., & Konstan, J. A. (2016). Relating newcomer personality to survival and activity in recommender systems. In UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization (pp. 195-205). (UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization). Association for Computing Machinery, Inc. https://doi.org/10.1145/2930238.2930246

Relating newcomer personality to survival and activity in recommender systems. / Karumur, Raghav Pavan; Konstan, Joseph A.

UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization. Association for Computing Machinery, Inc, 2016. p. 195-205 (UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Karumur, RP & Konstan, JA 2016, Relating newcomer personality to survival and activity in recommender systems. in UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization. UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, Association for Computing Machinery, Inc, pp. 195-205, 24th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2016, Halifax, Canada, 7/13/16. https://doi.org/10.1145/2930238.2930246

Karumur RP, Konstan JA. Relating newcomer personality to survival and activity in recommender systems. In UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization. Association for Computing Machinery, Inc. 2016. p. 195-205. (UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization). doi: 10.1145/2930238.2930246

Karumur, Raghav Pavan ; Konstan, Joseph A. / Relating newcomer personality to survival and activity in recommender systems. UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization. Association for Computing Machinery, Inc, 2016. pp. 195-205 (UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization).

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Relating newcomer personality to survival and activity in recommender systems

Abstract

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