Stageboost: Recommending Signals Based on Counterfactual Estimation

📅 2026-08-27
📈 Citations: 0
Influential: 0
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🤖 AI Summary
本文通过一个基于两阶段XGBoost的模型,优化了eBay商品页面上的信号推荐,从而提高了总销售额和配件类商品的销售额。
📝 Abstract
Signals are short textual or visual snippets displayed on the eBay View-Item (VI) page, providing additional, contextual information for users about the viewed item. The aim of displaying these signals is to facilitate intelligent purchase and to incentivize engagement. In this paper, we present a 2 stage xgboost based model that optimally populates the VI page with signals. This approach has shown a 0.08% lift in overall GMB (Gross Merchandise Bought) and 0.58% increase in Parts and Accessories GMB, primarily due to increase in conversion of high average price items in online experimentation.
Problem

Research questions and friction points this paper is trying to address.

Signals
View-Item Page
Gross Merchandise Bought
Engagement
Conversion
Innovation

Methods, ideas, or system contributions that make the work stand out.

two stage xgboost
counterfactual estimation
signals recommendation
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