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,...
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...
Latent Factor Model (LFM) based approaches are becoming popular when implementing Collaborative Filtering (CF) recommenders, due to their high recommendation accuracy. However, current LFM approaches address the accuracy issue only based on the rating data, whereas early research indicates that integrating...
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to speci... J Kleinberg,M Sandler - 《Journal of Computer & System Sciences》 被引量: 143发表: 2008年 Persuasion in Knowledge-Based Recommendation Summ...
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...
一种基于协同过滤的网格门户推荐模型 a grid portal recommendation model based on collaborative filtering.pdf,第32卷第7期 电子与信息学报 Vbl.32No.7 JournalofElectronics&Information Jul.2010 2010年7月 Technology 一种基于协同过滤的网格门户推荐模型 方娟
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。
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 ...
In regard to the impossibility of recommending accurate and individualized book through traditional digital libraries,the paper puts forth the construction of intelligent and collaborative filtering-based book recommendation.At first,books are clustered to construct complete evaluative matrix,then predict reader...
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...