114 citations · 133 across the 2 of their papers we have counts for
4 papers
PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest
Aditya Pal, Chantat Eksombatchai, Yitong Zhou +3
Latent user representations are widely adopted in the tech industry for powering personalized recommender systems. Most prior work infers a single high dimensional embedding to rep…
Shop The Look: Building a Large Scale Visual Shopping System at Pinterest
Raymond Shiau, Hao-Yu Wu, Eric Kim +7
As online content becomes ever more visual, the demand for searching by visual queries grows correspondingly stronger. Shop The Look is an online shopping discovery service at Pint…
Learning a Unified Embedding for Visual Search at Pinterest
Andrew Zhai, Hao-Yu Wu, Eric Tzeng +2
At Pinterest, we utilize image embeddings throughout our search and recommendation systems to help our users navigate through visual content by powering experiences like browsing o…
Complete the Look: Scene-based Complementary Product Recommendation
Wang-Cheng Kang, Eric Kim, Jure Leskovec +2
Modeling fashion compatibility is challenging due to its complexity and subjectivity. Existing work focuses on predicting compatibility between product images (e.g. an image contai…