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.
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.
系统可借助这种动态结构，向不同的用户群推荐适合的预送页面序列，逐步达到个性化服务的目标。
Such kind of dynamic structure might be perfect step by step and make web stations arrive at the aim: offering personalized service for their users.
个性化推荐系统已成为图书馆提供个性化服务的重要手段，而用户模型则是个性化推荐系统的基础和核心。
Personalized recommending system is one of the important means providing individual information in library . User profile is the basis and core of the personalized recommending system.
个性化推荐系统已成为图书馆提供个性化服务的重要手段，而用户模型则是个性化推荐系统的基础和核心。
Personalized recommending system is one of the important means providing individual information in library . User profile is the basis and core of the personalized recommending system.
应用推荐