推荐系统综述
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推荐系统(Recommender System)是机器学习应用较为成熟的方向之一,在工业界中,推荐系统也是大数据领域成功的应用之一。在一个较为完整的推荐系统中,不仅包含大家熟知的召回和排序两个阶段的常用算法之外,还会涉及到内容理解的部分的相关算法。除了算法之外,还涉及到大数据相关的处理技术以及工程实践,以下总结和整理以工业界的推荐系统为例,包含如下的几个部分: - 推荐系统的概述及其技术架构 - 召回排序算法 - 内容理解 - 架构工程实践 - 工业界解决方案
(以下内容会持续更新)
[2010]. The YouTube video recommendation system
[2017]. Deep Learning based Recommender System : A Survey and New Perspectives
[2017]. Use of Deep Learning in Modern Recommendation System : A Summary of Recent Works
[2020]. 从零开始了解推荐系统全貌
[2000]. Application of Dimensionality Reduction in Recommender System -- A Case Study
[2003]. Amazon.com recommendations:Item-to-item collaborative filtering
[2007]. Predicting clicks: estimating the click-through rate for new ads
[2010]. Factorization Machines
[2010]. Fast Context-aware Recommendations with Factorization Machines
[2013]. Learning deep structured semantic models for web search using clickthrough data
[2014]. Practical lessons from predicting clicks on ads at facebook
[2016]. Deep Neural Networks for YouTube Recommendations
[2016]. Wide & Deep Learning for Recommender Systems
[2016]. Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features
[2017]. DeepFM : A Factorization-Machine based Neural Network for CTR Prediction
[2018]. Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
[2018]. Real-time Personalization using Embeddings for Search Ranking at Airbnb
[2018]. Deep Interest Network for Click-Through Rate Prediction
[2019]. SDM:Sequential Deep Matching Model for Online Large-scale Recommender System
[2019]. Recommending What Video to Watch Next: A Multitask Ranking System
[2019]. Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
[2019]. Behavior Sequence Transformer for E-commerce Recommendation in Alibaba
[2019]. Real-time Attention Based Look-alike Model for Recommender System
[2019]. Deep Interest Evolution Network for Click-Through Rate Prediction
[2020]. Controllable Multi-Interest Framework for Recommendation
[2014]. Convolutional Neural Networks for Sentence Classification
[2016]. Bag of Tricks for Efficient Text Classification
[2017]. 【美团】旅游推荐系统的演进
[2017]. 【美团】深度学习在美团点评推荐平台排序中的运用
[2019]. 深度召回模型在QQ看点推荐中的应用实践
[2020]. Embedding在腾讯应用宝的推荐实践