Context-Aware Coproduction: Implications for Recommendation Algorithms

Jiawei Chen, Afsaneh Doryab, Benjamin Vincent Hanrahan, Alaaeddine Yousfi, Jordan Beck, Xiying Wang, Victoria Bellotti, Anind K. Dey, John Carroll

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Coproduction is an important form of service exchange in local community where members perform and receive services among each other on non-profit basis. Local coproduction systems enhance community connections and re-energize neighborhoods but face difficulties matching relevant and convenient transaction opportunities. Context-aware recommendations can provide promising solutions, but are so far limited to matching spatio-temporal and static user contexts. By analyzing data from a transportation-share app during a 3-week study with 23 participants, we extend the design scope for context-aware recommendation algorithms to include important community-based parameters such as sense of community. We find that inter- and intra-relationships between spatio-temporal and community-based social contexts significantly impact users’ motivation to request or provide service. The results provide novel insights for designing context-aware recommendation algorithms for community coproduction services.

Original languageEnglish (US)
Title of host publicationInformation in Contemporary Society - 14th International Conference, iConference 2019, Proceedings
EditorsMichelle H. Martin, Natalie Greene Taylor, Bonnie Nardi, Caitlin Christian-Lamb
PublisherSpringer Verlag
Pages565-577
Number of pages13
ISBN (Print)9783030157418
DOIs
StatePublished - Jan 1 2019
Event14th International Conference on Information in Contemporary Society, iConference 2019 - Washington, United States
Duration: Mar 31 2019Apr 3 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11420 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Information in Contemporary Society, iConference 2019
CountryUnited States
CityWashington
Period3/31/194/3/19

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Chen, J., Doryab, A., Hanrahan, B. V., Yousfi, A., Beck, J., Wang, X., Bellotti, V., Dey, A. K., & Carroll, J. (2019). Context-Aware Coproduction: Implications for Recommendation Algorithms. In M. H. Martin, N. G. Taylor, B. Nardi, & C. Christian-Lamb (Eds.), Information in Contemporary Society - 14th International Conference, iConference 2019, Proceedings (pp. 565-577). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11420 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-15742-5_54