activity
20182024
most citedBillion-scale Commodity Embedding for E-commerce Recommendation in Alibaba

22 citations · 85 across the 16 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CV2020★ 15 cited

3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics

Huan Fu, Bowen Cai, Lin Gao +7

We introduce 3D-FRONT (3D Furnished Rooms with layOuts and semaNTics), a new, large-scale, and comprehensive repository of synthetic indoor scenes highlighted by professionally des…

cs.CV2020★ 2 cited

Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning

Huan Fu, Shunming Li, Rongfei Jia +3

Image-based 3D shape retrieval (IBSR) aims to find the corresponding 3D shape of a given 2D image from a large 3D shape database. The common routine is to map 2D images and 3D shap…

cs.CV2020★ 16 cited

3D-FUTURE: 3D Furniture shape with TextURE

Huan Fu, Rongfei Jia, Lin Gao +4

The 3D CAD shapes in current 3D benchmarks are mostly collected from online model repositories. Thus, they typically have insufficient geometric details and less informative textur…

cs.LG2020★ 2 cited

TPG-DNN: A Method for User Intent Prediction Based on Total Probability Formula and GRU Loss with Multi-task Learning

Jingxing Jiang, Zhubin Wang, Fei Fang +1

The E-commerce platform has become the principal battleground where people search, browse and pay for whatever they want. Critical as is to improve the online shopping experience f…

cs.LG2020

Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records

Jiatu Shi, Huaxiu Yao, Xian Wu +4

E-commerce business is revolutionizing our shopping experiences by providing convenient and straightforward services. One of the most fundamental problems is how to balance the dem…

cs.IR2020★ 1 cited

RNE: A Scalable Network Embedding for Billion-scale Recommendation

Jianbin Lin, Daixin Wang, Lu Guan +5

Nowadays designing a real recommendation system has been a critical problem for both academic and industry. However, due to the huge number of users and items, the diversity and dy…