- 共同筛选
- 协作性过滤
- filter: n. 1.滤器，滤纸，过滤用料[砂、炭等]。 2.【无线 ...
- collaborative: 协同的; 协作结构; 协作网络; 协作型; 协作学习/群件/合作学习
- filtering: 滤波; 滤除; 滤光; 滤净; 滤清; 情报鉴定; 筛选; 筛熏过滤; 透过; 完井液渗滤; 选出
- collaborative agent: 合作主体
- collaborative business: 协同商务
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collaborative filtering中文什么意思
- 共同筛选
- 协作性过滤
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例句与用法
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- The group users model contains the interest of individuals and the interest of groups . so the integration eigenvector will certainly result in high precision of individual filtering and high recall of collaborative filtering . there are a few significances
其中，综合用户模型不仅反映该用户的个性化兴趣特征，它还包含该用户所在类的兴趣特征，所以基于综合用户模型的教学资源综合过滤既有个体过滤的查准率高的优点，又有协同过滤的查全率高的优点。 - Then analyzed the phenomenon of information overload about production in b2c website , and introduced the status of about the application of recommendation systems , and briefly drawed the relative technology with recommendation systems , especially user - based in collaborative filtering . we built the recommendation systems for m . com which sell crbt on internet
然后,针对经营手机彩铃的m网站建立电子商务推荐系统进行了实证研究,其中对国内外移动音乐和彩铃业务的市场发展情况进行了简要的介绍,并针对m网站建立电子商务推荐系统的进行了简要的需求分析。 - Second , proposing a hybrid recommendation strategy which used multi - agent system , collaborative filtering , and top - n together to generate right recommendations for customers in different profitability tiers . in the first part , we have defined customer value from two categories : intrinsic value and network value . based on customer ' s historical behavior , segment them with considering their recency , frequency , and monetary
明确指出高价值客户可体现在两个方面：一是具有高自身价值的客户，二是具有高网络价值（客户的网络影响力）的客户；其次，由顾客的历史和当前行为，特别是从recency （最近访问时间） 、 frequency （访问频度） 、 mon6t8ry （购买投人）因素出发，进行顾客内部价值挖掘：并通过形式化顾客的网络价值，给出完整的分层算法和相应实验。 - To address this issue , we proposed a collaborative filtering recommendation algorithm based on item clustering . this method first clustered items by the users " rating on items , based on the similarity between target item and cluster centers , the most similar clusters were selected as the search space to search the nearest neighbor of target item
针对电子商务推荐系统面临的实时性挑战，本文提出了基于项聚类的icrec协同过滤推荐算法，通过用户对项评分的相似性对项进行聚类，然后选择与目标项相似性最高的若干个聚类作为查询空间搜索目标项的最近邻居。 - Because the traditional collaborative filtering recommendation has certain insufficiency such as recommendation precision , the data processing efficiency , this article proposes a collaborative filtering method based on cluster and project forecast in coordination . after the users and the commodities are carried into gathers , the people of the same kind and the commodity of the same sort should be constructed the
由于传统协同过滤推荐在推荐精度、数据处理效率都有一定的不足,文中提出一种基于聚类和项目预测的协同过滤方法,把用户、商品进行聚类后,将同属一类的用户、商品构建用户? ?商品子矩阵,在该矩阵基础上进行最近邻查询,从而计算用户对未评分项目的预测评分。
百科释义
Collaborative filtering (CF) is a technique used by some recommender systems. Collaborative filtering has two senses, a narrow one and a more general one.
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