I2PS: An Online Item Intelligent Publishing System in Consumer to Consumer (C2C) Transaction Platform

Abstract

We present an online Item Intelligent Publishing System used in large scale Consumer to Consumer (C2C) transaction platform, named as I2PS, it is designed for personal seller to publish their items in an automatic way with the uploaded images. Our I2PS is deployed in Xianyu mobile App, the largest second-hand item shopping platform in China. The proposed system not only can guide seller how to photograph the publishing items with more details based on category recognition module, but also can intelligently tell the seller exactly what this product is and which attributes it has based on various recognition methods. The seller does not need to input extra product information, so that the item's publish process in Xianyu can be performed without any difficulty. In this paper, we introduce several techniques we used to develop the I2PS for product understanding, including product's category recognition, Standard Product Unit (SPU) recognition, multi-label attribute recognition and their corresponding pre-processing technologies. Our system deployed in Xianyu can help tens of millions personal sellers to publish their items, and improves publishing success rate by more than 15% and reduces publishing duration by more than 20%. The demo video is available at https://youtu.be/3NRx2hECIHc.