Taming the Complexity in Search Matching: Two-Sided Recommender Systems on Digital Platforms
Volume: 44, Issue: 1, Pages: 48 - 84
Published: Jan 1, 2020
Abstract
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...
Paper Details
Title
Taming the Complexity in Search Matching: Two-Sided Recommender Systems on Digital Platforms
Published Date
Jan 1, 2020
Volume
44
Issue
1
Pages
48 - 84
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