Perceive Your Users In Depth: Learning Universal User Representations From Multiple E-commerce Tasks

Authors:
Yabo Ni Alibaba Group
Dan Ou Alibaba Group
Shichen Liu Alibaba Group
Xiang Li Alibaba Group
Wenwu Ou Alibaba Group
Anxiang Zeng Alibaba Group
Luo Si Alibaba Group

Introduction:

This paper studies personalization in E-commerece.

Abstract:

Tasks such as search and recommendation have become increasingly important for E-commerce to deal with the information overload problem. To meet the diverse needs of different users, personalization plays an important role. In many large portals such as Taobao and Amazon, there are a bunch of different types of search and recommendation tasks operating simultaneously for personalization. However, most of current techniques address each task separately. This is suboptimal as no information about users shared across different tasks.

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