本文核心思想就是利用一部分用户的embedding来计算另一部分用户的embedding,这需要首先选出一部分具有代表性的用户(比如有较多交互的用户)训练一个矩阵分解模型,得到这批用户的embedding,还需要训练一个关系矩阵,学习如何表示zero-shot或者few-shot用户的embedidng,本文的主要目标就是找到一种用户嵌入方法,使得即能使有足...
Model-based collaborative filtering[M]. AGGARWAL C C. Recommender System. Berlin: Springer, 2016.Aggarwal C C.Model-Based Collaborative Filtering [C]∥ Recommender Systems.Cham:Springer International Publishing,2016:71-138.Aggarwal CC (2016) Model-Based Collaborative Filtering. In Recommender Systems,...
A Grid Portal Recommendation Model Based on Collaborative Filtering一种基于协同过滤的网格门户推荐模型 Grid portal is playing an important role in grid computing area. However, with the large-scale diverse resource need to be dispatched and coordinated, the ... Fang Juan,Liang Wencan,方娟,... -...
Collaborative Filtering by Personality Diagnosis : A Hybrid Memory-and Model-Based ApproachThe growth of Internet commerce has stimulated the use of collaborative filtering (CF) algorithms as recommender systems. Such systems leverage knowledge... PENNOCK,D. M. - Proc. 16th Conf. on Uncertainty in...
简介 协同过滤(collaborative filtering)是一种在推荐系统中广泛使用的技术。该技术通过分析用户或者事物之间的相似性,来预测用户可能感兴趣的内容并将此内容...
携程在深度学习与推荐系统结合的领域也进行了相关的研究与应用,并在国际人工智能顶级会议AAAI 2017上发表了相应的研究成果《A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems》,本文将分享深度学习在推荐系统上的应用,同时介绍携程基础BI团队在这一领域上的实践。
Deep Collaborative Filtering via Marginalized Denoising Auto-encoder[2]. Sheng Li, Jaya Kawale, Yun Fu.ACM 2015. 3.3 Outer Product-based Neural Collaborative Filtering 本研究提出了一种名为ONCF的新型多层神经网络架构,用于协同过滤。其核心思想是使用外积来明确建模嵌入空间维度之间的成对相关性。与现有神经...
According to the high dimensionality and sparsity of rating matrix in traditional collaborative filtering recommendation system,a new collaborative filtering recommendation model based on Local Principle Component Analysis(LPCA) is proposed which combines taxonomy technique and local principle component analysis ...
A collaborative filtering model based on heterogeneous graph neural network Herein, a collaborative filtering model is proposed based on a heterogeneous graph convolutional neural network that explicitly encodes the similarities between ... B Yang,L Qiu,WU Shu - 《Journal of Tsinghua University》 被引...
深度学习应用在推荐系统的论文---A Novel Deep Learning-Based Collaborative Filtering Model for Recommendation System 1、题目:一种新的基于深度学习的协同过滤推荐系统 Top~~ 2、摘要: 以协同过滤(CF)为基础的模型主要获取用户和项目的交互或者相关性。然而,现有的基于CF的方法只能掌握单一类型的关系,如RBM,它只...