Transcription of Billion-scale Commodity Embedding for E-commerce ...
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Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba Jizhe Wang, Pipei Huang Huan Zhao Alibaba Group Department of Computer Science and Engineering Hangzhou and Beijing, China Hong Kong University of Science and Technology Kowloon, Hong Kong Zhibo Zhang, Binqiang Zhao Dik Lun Lee [ ] 24 May 2018. Alibaba Group Department of Computer Science and Engineering Beijing, China Hong Kong University of Science and Technology Kowloon, Hong Kong ABSTRACT algorithms; Computing methodologies Learning latent Recommender systems (RSs) have been the most important representations;. technology for increasing the business in Taobao, the largest online consumer-to-consumer (C2C) platform in China.
Billion-scale Commodity Embedding for E-commerce ... the billion-scale data in Taobao. Using A/B test, we show that the online Click-Through-Rates (CTRs) are improved comparing to ... brand, or price, etc., and it is intuitive that different side information should contribute differently to learning the embeddings of items. Thus, we further
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