Cross-domain Recommendation Without sharing User-relevant Data简析

时间 2019-12-04

标签 cross domain recommendation sharing user relevant data 栏目 HTML 繁體版

原文原文链接

Cross-domain Recommendation Without sharing User-relevant Data 介绍为了联合不一样网站的相同数据以提升推荐质量，可是为了不商业隐私，文章不使用用户相关的数据，而仅仅使用item的信息，同时为了有效的发掘有用的信号，文章使用了一种新的方法NATR（Neural Attentive Transfer Recommendation）htm

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1. Cross-domain Recommendation Without sharing User-relevant Data简析
2. Multi Institution Deep Learning Modeling Without Sharing Patient Data
3. NARM:Neural Attentive Session-based Recommendation简析
4. 【Salesforce】【Developer】 Apex study --difference between with sharing and without sharing
5. SFDC:关于with sharing和without sharing 关键字声明Apex类，涉及到的CRUD/FLS/SHARING的个人总结
6. Backup App's data without rooting the phone
7. Sequential Scenario-Specific Meta Learner for Online Recommendation简析
8. DKN: Deep Knowledge-Aware Network for News Recommendation简析
9. NAIS: Neural Attentive Item Similarity Model for Recommendation简析
10. Feature Re-Learning with Data Augmentation for Content-based Video Recommendation简介

>>更多相关文章<<