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The Duine Framework is a (collection of) software libraries that allows developers to create prediction engines for their own applications. A prediction engine is a component that predicts how interested individual users are in pieces of information.
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在网络和电子商务环境下,推荐系统得到了广泛的应用。本文在建立了推荐系统的研究内容框架的基础上,从用户信息收集和用户建模、个性化推荐算法、推荐系统的评价及推荐系统的应用等四个方面对推荐系统的现有研究成果进行了系统的评述,并指出了推荐系统未来研究热点和发展方向。
-【英文摘要】 Recommender systems are among the most typical outcomes of the Internet and E-commerce.In this paper, the aut
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Matrix factorization for recommender systems - used in Netflix prize-Matrix factorization for recommender systems- used in Netflix prize...
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Data Mining Methods for Recommender Systems
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基于JSP的电子商务网站商品推荐系统的设计与开发-JSP commodity recommendation system of e-commerce website design and development
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Anomaly Detection and Recommender Systems using matlab
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MachineLearning
Classifican
KNN-Based Clustering for Improving Social
Recommender Systems
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基于MovieLens数据，通过计算余弦相似度，Python语言构建的一个简单协同过滤推荐系统，并给出RMSE等测评结果-Based MovieLens data by calculating the cosine similarity, Python language to build a simple collaborative filtering systems, and the like are given RMSE uation results
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数据挖掘，推荐系统，堆叠降噪自编码器，逻辑回归(Data mining, recommender systems, stack noise reduction, self coder, logic regression)
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cos相似度实现推荐预测，实现了找出相似度最大的某行某列进行预测(Cos similarity to achieve the recommended prediction, to achieve the largest similarity to find a row of a column to predict)
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Wide & Deep Learning for Recommender Systems
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Incremental Singular Value Decomposition Algorithms for Highly
Scalable Recommender Systems
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