20 citations · 65 across the 10 of their papers we have counts for
6 papers · 1 filter
Revenue, Relevance, Arbitrage and More: Joint Optimization Framework for Search Experiences in Two-Sided Marketplaces
Andrew Stanton, Akhila Ananthram, Congzhe Su +1
Two-sided marketplaces such as eBay, Etsy and Taobao have two distinct groups of customers: buyers who use the platform to seek the most relevant and interesting item to purchase a…
Learning Item-Interaction Embeddings for User Recommendations
Xiaoting Zhao, Raphael Louca, Diane Hu +1
Industry-scale recommendation systems have become a cornerstone of the e-commerce shopping experience. For Etsy, an online marketplace with over 50 million handmade and vintage ite…
An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy
Kamelia Aryafar, Devin Guillory, Liangjie Hong
Etsy is a global marketplace where people across the world connect to make, buy and sell unique goods. Sellers at Etsy can promote their product listings via advertising campaigns…
Joint Text Embedding for Personalized Content-based Recommendation
Ting Chen, Liangjie Hong, Yue Shi +1
Learning a good representation of text is key to many recommendation applications. Examples include news recommendation where texts to be recommended are constantly published every…
Learning Optimal Card Ranking from Query Reformulation
Liangjie Hong, Yue Shi, Suju Rajan
Mobile search has recently been shown to be the major contributor to the growing search market. The key difference between mobile search and desktop search is that information pres…
An Unbiased Data Collection and Content Exploitation/Exploration Strategy for Personalization
Liangjie Hong, Adnan Boz
One of missions for personalization systems and recommender systems is to show content items according to users' personal interests. In order to achieve such goal, these systems ar…