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Predicting coupons on e commerce frame work with reference link? 

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Predicting coupons on e-commerce platforms is a crucial task to attract users and maximize sales. Several papers have proposed frameworks and methods to address this problem. Zhou and Li describe a framework that uses historical data to predict sales orders and generate coupons for distribution to customers . Li et al. propose a two-stage solution, using an Instantaneous Intent Detection Network (IIDN) to predict user intents and a Multiple-Choice Knapsack Problem (MCKP) to allocate coupons efficiently . He and Jiang treat coupon usage prediction as a binary classification problem and use machine learning methods to analyze users' coupon usage behaviors . Chunyi et al. propose an integrated model that combines a primary learner and a secondary learner to improve prediction accuracy and reduce generalization error . These papers provide valuable insights and techniques for predicting coupon usage on e-commerce platforms.

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The provided paper is about an e-commerce discount coupon use probability prediction method based on an integrated model. It does not provide a reference link for predicting coupons on an e-commerce framework.
Proceedings ArticleDOI
Jiawei He, Wenjun Jiang 
01 Dec 2017
5 Citations
The paper discusses predicting the probability of coupon usage in e-commerce environments using machine learning methods. It does not provide a reference link for predicting coupons on an e-commerce framework.
The provided paper is about online electronic coupon allocation based on real-time user intent detection. It does not provide information about predicting coupons on an e-commerce framework.
The paper discusses a two-stage solution for online electronic coupon allocation, including user intent detection and computational efficient allocation methods. It does not specifically mention predicting coupons on an e-commerce framework.
Wenjun Zhou, Wen-syan Li 
03 Aug 2017
4 Citations
The provided paper is about a framework for generating coupons based on historical data. It does not mention predicting coupons on an e-commerce framework or provide a reference link.

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