A cluster-randomized A/B test design for paid search that builds query-product SERP interference networks, projects them to product graphs, and partitions them to reduce SUTVA bias.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
SERP Interference Network and Its Applications in Search Advertising
A cluster-randomized A/B test design for paid search that builds query-product SERP interference networks, projects them to product graphs, and partitions them to reduce SUTVA bias.