Recommender相关论文
传统item-based协同过滤算法根据项目之间的相似性来选取最近邻居.然而,现存的几种相似性度量方法都存在相应的弊端,因此只根据相......
个性化推荐技术是当前研究热点之一。文章首先对常见推荐技术进行分析,再从基于内容的推荐技术、协同过滤推荐技术以及对推荐结果......
扬雄的入京年代和推荐人问题历来存在争议。对这一学界公案所涉及的几个相关时间和人物关系加以考辨，对比分析各种推测意见成立的合......
An E-Commerce Recommender System Based on Click and Purchase Data to Items and Considered of Interes
A well-performed recommender system for an e-commerce web site can help customers easily find favorite items and then in......
With the rapid development of e-commerce, the security issues of collaborative filtering recommender systems have been w......
个性化推荐系统能产生针对性的、个性化的信息来满足不同用户需求,但也很容易受到用户描述文件注入恶意攻击,影响正常的推荐结果。......
协同过滤推荐方法在传统个性化推荐领域被广泛使用。农资电子商务领域面向的专家/终端用户和批发/零售的混合模式更为复杂,需要对......
针对不同人对多样性的偏好不同,提出一种能够在寻优精度和多样性之间权衡的个性化的多样性优化方法.该方法采用一种依据用户历史偏......
In very short time today web has become an enormously important tool for communicating ideas, conducting business and en......
Due to developments of information technology, most of companies and E-shops are looking for selling their products by t......
Data mining techniques and information personalization have made significant growth in the past decade. Enormous volume ......
Beyond Customer Churn: Generating Personalized Actions to Retain Customers in a Retail Bank by a Rec
Customer churn may be a critical issue for banks. The extant literature on statistical and machine learning for customer......
Personalized social matching systems can be seen as recommender systems that recommend people to others in the social ne......
视频搜索是目前信息检索领域研究的热点.提出一种利用协同过滤技术来实现个性化的视频搜索.该算法根据用户项目兴趣相似度来计算目......
Deep learning based recommendation methods, such as the recurrent neural network based recommendation method(RNNRec) and......
In this paper, we examine methods that can provide accurate results in a form of a recommender system within a social ne......
As the growing interest of web recommendation systems those are applied to deliver customized data for their users, we s......
Data, information and knowledge are recognized as useful assets for analysis, recommendation and decision making at any ......
Memory-based collaborative recommender system (CRS) computes the similarity between users based on their declared rating......
提出了一种运用模糊聚类方法将项目属性特征的相似性与协同过滤推荐算法相融合的推荐方法，此方法将用户对单个项目的偏好转化为对相......
Online recommendation solves the current information overload problem in the online retailing businesses. Given relevant......
