Search Results for author: Kui Zhao

Found 8 papers, 0 papers with code

Intelligent Credit Limit Management in Consumer Loans Based on Causal Inference

no code implementations10 Jul 2020 Hang Miao, Kui Zhao, Zhun Wang, Linbo Jiang, Quanhui Jia, Yanming Fang, Quan Yu

Based on these testing data, a response model is then built to measure the heterogeneous treatment effect of increasing credit limits (i. e. treatments) for different customers, who are depicted by several control variables (i. e. features).

Causal Inference

Large-scale Uncertainty Estimation and Its Application in Revenue Forecast of SMEs

no code implementations2 May 2020 Zebang Zhang, Kui Zhao, Kai Huang, Quanhui Jia, Yanming Fang, Quan Yu

If the uncertainty of an enterprise's revenue forecasting can be estimated, a more proper credit limit can be granted.

A Unified Framework for Marketing Budget Allocation

no code implementations4 Feb 2019 Kui Zhao, Junhao Hua, Ling Yan, Qi Zhang, Huan Xu, Cheng Yang

In our approach, a semi-black-box model is built to forecast the dynamic market response and an efficient optimization method is proposed to solve the complex allocation task.

Decision Making

Adaptive Recurrent Neural Network Based on Mixture Layer

no code implementations24 Jan 2018 Kui Zhao, Yuechuan Li, Chi Zhang, Cheng Yang, Huan Xu

By leveraging the mixture layer, the proposed method can adaptively update states according to the similarities between encoded inputs and prototype vectors, leading to a stronger capacity in assimilating sequences with multiple patterns.

Learning and Transferring IDs Representation in E-commerce

no code implementations22 Dec 2017 Kui Zhao, Yuechuan Li, Zhaoqian Shuai, Cheng Yang

Many machine intelligence techniques are developed in E-commerce and one of the most essential components is the representation of IDs, including user ID, item ID, product ID, store ID, brand ID, category ID etc.

Navigation Objects Extraction for Better Content Structure Understanding

no code implementations26 Aug 2017 Kui Zhao, Bangpeng Li, Zilun Peng, Jiajun Bu, Can Wang

Dynamic and personalized elements such as top stories, recommended list in a webpage are vital to the understanding of the dynamic nature of web 2. 0 sites.

Hierarchical structure

Sales Forecast in E-commerce using Convolutional Neural Network

no code implementations26 Aug 2017 Kui Zhao, Can Wang

To overcome the limitations of existing methods, we propose a novel approach in this paper to learn effective features automatically from the structured data using the Convolutional Neural Network (CNN).

Feature Engineering

Deep Style Match for Complementary Recommendation

no code implementations26 Aug 2017 Kui Zhao, Xia Hu, Jiajun Bu, Can Wang

In order to answer these kinds of questions, we attempt to model human sense of style compatibility in this paper.

Common Sense Reasoning Feature Engineering

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