Design of an E-commerce Recommender System Based on Hybrid Algorithm

The Application of Artificial Psychology Model in Personalized Recommender System Service

人工心理模型在个性化商品推荐系统中的应用

The core of the recommender system is recommendation algorithm.

推荐系统的核心是推荐方法。

A Survey of Collaborative Filtering Algorithm Applied in E-commerce Recommender System

电子商务推荐系统中的协同过滤推荐非线性滤波的迫近

Ant Clustering Algorithm and Its Application to Recommender System

蚁群聚类算法及其在推荐系统中的应用

Parallel co-occurrence based recommender

并行计算基于共现算法的推荐引擎

Research of Item Clustering Based on Particle Swarm Optimization in Recommender Algorithm

基于粒子群优化的项聚类推荐算法研究

Study on Recommender System Based on Interest Measure

基于兴趣度的推荐系统研究

The Research and Development for Personalized Recommender system in Digital Library

高校图书馆个性化信息推荐服务的研究与发展

Framework and implementation of recommender system in great course sharing system

精品课共享中的推荐系统框架与实现

Model of recommender system based on fuzzy interest set and intelligence agent

基于模糊兴趣集和智能Agent的推荐系统模型研究

Research of personalized recommender system based on data mining on magnanimity data

基于海量数据挖掘的个性化推荐系统

The Web Personalized Recommender System Based on Voting Mechanism

基于投票机制的Web个性化推荐系统

The Research on Recommender System Based on Substitute Goods Model

基于替代品模型的推荐系统研究

Also the construction and function of the recommender system has been mentioned simply.

另外还简单介绍了该系统的构成和功能。

Web recommender system can provide different users with different services.

Web推荐系统能为用户提供有针对性的个性化服务。

Buiding a Web Service Recommender System Based on the Semantic Web

应用语义网构建Web服务推荐系统

Hybrid Music Recommender System Based on Music Analysis and Rating Scores

基于内容分析和点击率记录的混合音乐推荐系统

Research on E-commerce Personal Recommender Algorithm Based on Artificial Immune Network

基于人工免疫网络的电子商务个性化推荐算法研究

Research of Intelligent Web Page Recommender System Based on Clustering Technique

基于聚类的智能网页推荐系统研究

Finally, this paper apply the engine to a recommender system about the e-commerce film, the system realizes the online personalized recommender in real time.

最后，本文将构建的推荐引擎应用到了一个电子商务电影推荐系统上，实现了在线、实时的个性化推荐功能。