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06/05/2023
Path-Specific Counterfactual Fairness for Recommender Systems
Recommender systems (RSs) have become an indispensable part of online pl...
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06/17/2020
Causal Meta-Mediation Analysis: Inferring Dose-Response Function From Summary Statistics of Many Randomized Experiments
It is common in the internet industry to use offline-developed algorithm...
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06/24/2019
The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
E-commerce companies have a number of online products, such as organic s...
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05/15/2019
Revenue, Relevance, Arbitrage and More: Joint Optimization Framework for Search Experiences in Two-Sided Marketplaces
Two-sided marketplaces such as eBay, Etsy and Taobao have two distinct g...
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12/11/2018
Learning Item-Interaction Embeddings for User Recommendations
Industry-scale recommendation systems have become a cornerstone of the e...
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11/04/2017
An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy
Etsy is a global marketplace where people across the world connect to ma...
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06/23/2017
On Sampling Strategies for Neural Network-based Collaborative Filtering
Recent advances in neural networks have inspired people to design hybrid...
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06/04/2017
Joint Text Embedding for Personalized Content-based Recommendation
Learning a good representation of text is key to many recommendation app...
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12/17/2012