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- Recommender system is becoming one of the major business tools. 个性化推荐逐渐成为电子商务系统的标准模块之一!
- Are Recommender Systems Good for Libraries? - 推荐系统适用于图书馆吗?
- In particular, I think it suggests a good alternative to content-based methods for bootstrapping a recommender system. 我认为它为一个推荐系统的自启动指出了一个很好的替代选择。
- Information filtering is the fundamental and core section of personal recommender system. 信息过滤技术是个性化推荐系统的基础和核心部分，也是作为信息系统集成中一个极为重要的组成部分。
- For more effective personalization,usage,content and structure,site data must be integrated into a hybrid recommender system. 为提高推荐系统的性能,必须将站点的内容和结构信息以及用户行为数据集成形成混合模式推荐系统,在推荐引擎里统一使用。
- In this study, we describe a methodology in the recommender system designed to alleviate the sparsity and cold-start problems mentioned above. 在此篇论文中，我们提出了一种新的推荐技术用以解决上述的稀疏问题。
- The first one illustrates the necessity of the scientific literature personalized recommender system and applications on recommender system. 第一部分分析科技文献个性化推荐系统的必要性以及推荐系统的应用现况;
- Aimed at the main challenges of recommender system, this thesis based the research on the pLSA (probabilistic Latent Semantic Analysis) model. 针对上述问题，本文对基于模型的推荐算法进行了初步的探索，在前人工作的基础上，研究了基于概率隐含语义分析(probabilistic Latent Semantic Analysis; pLSA)在推荐系统中的应用和实现技术，取得的主要研究成果如下： 1.;通过对用户、社区、推荐对象三者相关关系的分析，发现了社区兴趣相对稳定的特点。
- This paper describes the user profile in user-based personalized recommender system and designs the dynamic user profile. 具体表现为在建模过程中动态提供用户偏好的分类,允许用户直接对偏好分类进行添加和删除;
- The third part discusses the user profile and puts forward the user profile modeling approach as well in scientific literature personalized recommender system. 第三部分针对科技文献个性化推荐系统特点提出用户偏好建模的方法;
- If we recall the development of the main-onsignee of our country, we can get a logical conclusion that the second-board market needs the recommender system. 纵观我国主承销商职责的演变,顺理成章地可以得出二板市场需要保荐人制度的结论。
- It is an useful method to build a personalized recommender system in order to provide personalized information service in the context of digital library. 构建一个综合信息检索、信息过滤、数据挖掘等多种技术的信息推荐系统,是数字图书馆实现个性化信息服务的有效手段。
- However, the e-commerce recommender system still faces a series of challenges.Thereby, research on e-commerce recommender system is of most realistic significance. 然而，电子商务推荐系统也面临着一系列的挑战，所以对电子商务推荐系统的研究具有非常重要的现实意义。
- View THX-certified recommended systems now! 立刻查看推荐的THX认证系统!
- Personalization recommendation system simulation and conclusion analysis. 强化了个性化推荐系统仿真及结论分析。
- Collaborative filtering is a successful technology that is implemented in E-commerce recommender systems today. 协同过滤是目前在电子商务推荐系统中应用较为成功的个性化推荐技术。
- Concepts and functions of E-Commerce recommender systems are briefly introduced.Integration of data mining and electronic commerce is also studied. 简要介绍了电子商务推荐系统的概念和作用,研究了数据挖掘与电子商务的结合点。
- Collaborative Filtering and Content-Based Filtering are techniques used in the design of recommender systems that support personalization. 推荐技术中的信息过滤系统包括内容过滤和协作过滤,纯粹的内容过滤系统和纯粹的协作过滤系统都存在各自的缺陷。
- Abstract: Concepts and functions of E - Commerce recommender systems are briefly introduced.Integration of data mining and electronic commerce is also studied. 摘 要: 简要介绍了电子商务推荐系统的概念和作用，研究了数据挖掘与电子商务的结合点。
- Collaborative filtering is one of the most successful technologies for building recommender systems, and is extensively used in many personalized systems. 摘要协同过滤算法是至今为止最成功的个性化推荐技术之一，被应用到很多领域中。
