Pipei Huang

Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba

2018

Recommender systems (RSs) have been the most important technology for increasing the business in Taobao, the largest online consumer-to-consumer (C2C) platform in China. There are three major challenges facing RS in Taobao: scalability, sparsity and …

Multi-Interest Network with Dynamic Routing for Recommendation at Tmall

2019

Industrial recommender systems have embraced deep learning algorithms for building intelligent systems to make accurate recommendations. At its core, deep learning offers powerful ability for learning representations from data, especially for user and item representations. …

Behavior sequence transformer for e-commerce recommendation in Alibaba

2019

Deep learning based methods have been widely used in industrial recommendation systems (RSs). Previous works adopt an Embedding&MLP paradigm: raw features are embedded into low-dimensional vectors, which are then fed on to MLP for final …