personalized recommendation的例句大全

If the past of the Internet is a popular search technology era, the future of the Internet will belong to personalized recommendation technology.

如果说过去的Internet是搜索技术大行其道的时代，那么未来的Internet将属于个性化推荐技术。

Realization and Research on Community Monitoring& Personalized Recommendation System Based on E-Learning

基于E-Learning的社区监控及个性化推荐系统的实现

Personalized Recommendation Services has been considered as a typical method to deal with the problem of internet mass information.

个性化推荐是一种已经被公认的能够有效解决internet信息过载的方法。

With the rapid development of Internet and the online shopping system, the technology of personalized recommendation has become an important field gradually.

随着Internet和网上购物的迅猛发展，网上购物系统中的个性化推荐技术逐渐成为人们研究的一个重要领域。

First of all, introduce the history of personalized recommendation engine, analyze their respective implementation through some examples of the engines.

首先，介绍了个性化推荐引擎的历史，给出了一些个性化推荐引擎实例，分析它们各自的实现方式，并总结了优缺点，提出了改进方案。

It also introduces Web Log Mining on the concept and steps, describes personalized recommendation on the concept, classification, core technologies and procedures.

阐述了Web日志挖掘的概念和步骤，描述了个性化推荐的概念、分类、核心技术和步骤。

personalized recommendation algorithm can adjust the information services according to users' personal interests.

个性化推荐算法能够根据用户的个人兴趣偏好有效的调整信息服务的内容。

Web User Clustering and Personalized Recommendation Based on Mixtures of Hidden Markov Chain Models

基于混合隐Markov链浏览模型的WEB用户聚类与个性化推荐

Finally, the traditional user collaborative filtering recommendation system and the proposed collaborative personalized recommendation system were compared to proved by data verify that the improvements of precision of proposed system. the realization of prototype also can prove the feasibility of the proposed system.

最后，本文利用对传统的用户协同过滤推荐系统与本文提出的个性化协同推荐系统进行了对比，证明了系统在推荐精度方面的改进，并通过原型系统的实现证明了本文提出的系统的可行性。

User profile modeling is the core of personalized recommendation. However, there are few researches on user profile modeling in mobile environment.

用户兴趣建模是个性化推荐的基础与核心，但目前研究移动环境下用户兴趣建模的还较少。

Personalized recommendation technology can automatically search information, which meets users' demand in the network for different users with different preferences, to save manual search time for users.

个性化推荐技术旨在针对不同用户的个性化偏好，在网络中自动查找符合其需求的信息并推荐给用户，从而可以节省用户手动查找时间。

Study of Personalized Recommendation Model Based on the User-State Awareness

基于用户态感知的个性化服务推荐模型研究

The current personalized recommendation system is based on the correlation ship between users and products, that is, it predicts the interestingness of users to products according to the existing consuming behavior or the evaluations and recommend personally.

当前个性化推荐系统是基于用户和产品之间的相关关系，即通过用户已有的购买行为或对产品的评价来预测用户对待推荐产品的兴趣度，进而进行个性化商品推荐。

This is defined as the technique of web Personalized recommendation.

这就是所谓的Web个性化推荐技术，是Web技术研究和应用的热点之一。

A Web Personalized Recommendation Method Based on Uncertain Consequent Association Rules

一种基于后项不定长关联规则的Web个性化推荐方法

Research on Technologies of Web Personalized Recommendation Based on Content

基于内容的Web个性化推荐技术研究

It attributes the lower precision in personalized recommendation to the hybrid interests and insufficient use of indirect ratings, which results in the worse reflection of calculated similarity towards the actual interests.

它主要针对个性化推荐精度低的原因，认为是用户多兴趣性和用户间接评分利用不足导致了传统用户相似度的计算不能很好地反映用户之间的相似性。

Research of Personalized Recommendation System Based on Web Usage Learning

基于WEB使用挖掘的个性化推荐系统的研究

Web data mining used in the personalized recommendation service

Web数据挖掘在个性化推荐服务的应用

Research on Agent-Based Personalized Recommendation System

基于Agent的个性化推荐系统的研究