rcmd_paper

推荐资料传送门 [入门paper] (http://blog.sina.com.cn/s/blog_5357c0af0102wz0b.html)

CTR 问题

CTR知乎专栏url 一些模型： Wide & Deep cross Deep Model DIN ESSM BST DSIN DLRM Exact-K

深度学习在推荐中的应用

deep learning for rcmd

Neural Factorization Machines SIGIR '17

Learning over Knowledge-Base Embeddings for Recommendation

Neural Collaborative Filtering pdf git

Deep Learning for Matching in Search and Recommendation

知乎专栏-DL在推荐中应用urlurl

attention model 系列

CTR知乎专栏url ATRank

embedding 系列

word2vec embedding鼻祖，必须要搞清楚呀，后续所有的embedding就是输入改一下。model还是语言模型。 资料 知乎url 基于神经网络的词和文档语义向量表示方法研究 url skip gram model url

network embedding系列

awesome-network-embedding url

node2vec

node2vec

alibaba graph embedding 17年，非对称网络的embedding

scalable graph embedding for Astmmetric Proximity

京东的一篇相关商品关系学习 A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce

SLIM 系列

SLIM: Sparse LInear Methods for top-n recommender systems

Local Item-Item Models for Top-N Recommendation, Recsys, 2016

知识图谱在推荐系统中的应用

url

• 依次学习模型 DKN: Deep Knowledge-Aware Network for News Recommendation

• 混合训练模型 Ripple Network: Propagating User Preferences on the Knowledge Graph for Recommender Systems Collaborative knowledge base embedding for recommender systems.

• 交替学习模型 MKR: A Multi-Task Learning Approach for Knowledge Graph Enhanced Recommendation.

• 知识图谱在商品embbeding 中的应用 2019 wwww Jointly Learning Explainable Rules for Recommendation with Knowledge Graph