提出了基于数据挖掘的电子商务推荐系统的设计。
Discuss the design of recommendation system using data mining.
同时，基于提出的理论，结合实际，构建出电子商务推荐系统。
Meanwhile, a recommender system is built on the theory we just discuss.
协同过滤推荐算法是在电子商务推荐系统中最成功的技术之一。
Collaborative filtering recommendation algorithm is one of the most successful technologies in thee-commerce recommendation system.
电子商务推荐系统中协同过滤已成为目前应用最广泛、最成功的推荐方法。
In E-commerce recommender system, collaborative filtering technology is the most popular and successful method at present.
针对电子商务推荐系统中各种推荐技术的不足，提出推荐策略的自适应方法。
A method of choosing recommendation policy adaptive to the recommendation context is proposed in this paper to overcome the shortcomings of different recommendation techniques.
如何提高电子商务推荐系统的推荐质量，目前已成为专家学者们研究的热点。
How to improve the quality of E-commerce Recommendation System, has become a hot research by experts and scholars.
摘 要：电子商务推荐系统中协同过滤已成为目前应用最广泛、最成功的推荐方法。
Absrtact: In E- commerce recommender system, collaborative filtering technology is the most popular and successful method at present.
在日趋激烈的竞争环境下，电子商务推荐系统能有效保留用户、防止用户流失，提高电子商务系统的销售。
Recommendation systems can enhance E-Commerce sales by converting browsers into buyers, increasing cross-sell and building loyalty to prevent user losing.
个性化推荐技术是电子商务系统中重要的技术，但对一般的非商务型网站如何向用户提供推荐服务成为当前研究的热点。
Personalization recommendation technique is an important technology in E_commerce, but how to provide recommendation service in net site which is not E_commerce is becoming a hot research now.
在信息过滤改进模型指导下，本文提出并构建了一个电子商务个性化推荐系统。
A personalized recommending system of electronic commerce has been designed on the improved information filtering model.
个性化推荐系统(简称prs)最早应用于电子商务和信息服务领域，现已相对成熟。
Personalized recommendation system (hereinafter referred to as PRS) applied to the fields of e-commerce and information services early, and has been relative mature.
电子商务系统规模的日益扩大，协同过滤推荐方法也面临诸多挑战：推荐质量、可扩展性、数据稀疏性、冷开始问题等等。
But, with expansion of E-commerce system's size, collaborative filtering approach suffer from many challenges, for instance, quality of recommendations, scalability, sparsity, cold-start problem.
电子商务网站可以使用推荐系统分析客户的消费偏好，向每个客户具有针对性地推荐商品。
Recommender systems may be used to analyze the preference of customer, recommend product to targeted customer.
B2C电子商务环境下的决策支持系统主要包括专家系统，推荐系统和智能代理系统或者其组合等。
Generally, expert system, recommendation system, intelligent-agent-based system, or different combinations of them, are all identified decision support system.
众多个性化推荐技术中协同过滤可谓一枝独秀，该算法引领了当今各大电子商务平台的推荐系统的发展趋势。
Collaborative filtering is thriving among lots of personalized recommendation technology which leads the recommendation system trends of major e-commerce platforms.
在线推荐系统提供购物导航服务，是提高电子商务系统性能的重要方面。
Online recommender system is an important aspect of ec system. The article provides a recommender method based-on customers "behavior about clicking and staying."
在线推荐系统提供购物导航服务，是提高电子商务系统性能的重要方面。
Online recommender system is an important aspect of ec system. The article provides a recommender method based-on customers "behavior about clicking and staying."
应用推荐