Taming the Complexity in Search Matching: Two-Sided Recommender Systems on Digital Platforms
Taming the Complexity in Search Matching: Two-Sided Recommender Systems on Digital Platforms
About this item
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Author / Creator
Publisher
Minneapolis: University of Minnesota, MIS Research Center
Journal title
Language
English
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Publication information
Publisher
Minneapolis: University of Minnesota, MIS Research Center
Subjects
More information
Scope and Contents
Contents
We study digital multisided platforms as complex adaptive business systems (CABS) where multiple sides have different and evolving objectives, preferences, and constraints. CABS are characterized by irreducible uncertainty, which cannot be reduced by the traditional approaches of collecting and processing data. Irreducible uncertainty in the system...
Alternative Titles
Full title
Taming the Complexity in Search Matching: Two-Sided Recommender Systems on Digital Platforms
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2383815770
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2383815770
Other Identifiers
ISSN
0276-7783
E-ISSN
2162-9730
DOI
10.25300/MISQ/2020/14424
