recommender的例句大全

Personalized Recommender Systems Based on "Matrix Clustering" for E commerce

基于矩阵聚类的电子商务网站个性化推荐系统

It shows that effecieacy and wide applicability can be a suitable technique for recommender system on E commerce site.

该技术特别适合于目前大型的电子商务网站，实验数据表明，该系统是高效并可广泛使用。

It is useful to the excavation of the "long tail". Secondly, we provide a generic recommendation system framework and then introduce its main modules from three levels, the architecture from the outside, the recommender system architecture, the recommendation engine architecture.

其次，提出了一种通用的推荐系统框架，并按照外围架构、推荐系统架构、推荐引擎架构三个层级介绍了该框架的主要模块。

Then, it proposed a user-feature-based recommendation algorithm and an improved item-based collaborative filtering algorithm, which to some extent alleviate the major challenges the recommender system are facing.

在此基础上，提出了基于用户特征的推荐算法和改进的基于项目的协同过滤算法，从而在一定程度上缓解了推荐系统面临的主要挑战。

Many previous works have applied transfer learning to recommender systems to solve the cold start and rating sparsity problems. Most of these applications transfer user-item rating patterns. However, these applications require that the rating data on the auxiliary domain should be dense enough.

之前也有很多研究将迁移学习应用到推荐系统中来改进推荐系统，但是之前的研究都是迁移推荐系统中的用户评分矩阵，而且这些研究工作都要求源领域中的评分数据足够密集。

Web personalized recommender systems anticipate the needs of web users and provide them with recommendations according to their navigation patterns.

Web个性化推荐系统根据用户的浏览模式预测用户需求，并向他们提供个性化的推荐服务。

The personalized recommender system as a important information filtration mean is a potential method to solve the problem of information overload currently.

个性化推荐系统（Recommender System）作为一种信息过滤的重要手段，是当前解决信息超载问题的非常有潜力的方法。

Hence, social tag recommender system calls a lot of attention from academic and industry circles recently.

因此，近年来，社会标签推荐技术受到了学术界以及企业界的广泛关注。

currently, the technology to solve information overload problem can be classified into to two categories. the first technology is information retrieval represented by the search engine and the second is information filtering represented by recommender systems.

目前，解决信息过载问题的技术主要分两类，第一类是以搜索引擎为代表的信息检索技术，第二类是以推荐系统为代表的信息过滤技术。

For more effective personalization , usage , content and structure, site data must be integrated into a hybrid recommender system.

为提高推荐系统的性能, 必须将站点的内容和结构信息以及用户行为数据集成形成混合模式推荐系统,在推荐引擎里统一使用.

Of course, an uninformed recommender is just a degenerate case and may still be useful.

当然, 一个信息不足的推荐系统只是一个比较不理想的情况但可能仍然是有用的.

This paper discusses the individual recommender technology, model, and algorithm under the open environment.

本论文围绕开放式环境下的个性化推荐技术、模型及算法展开调研，对个性化推荐技术、特别是现有推荐系统的社区结构发现技术进行了系统的分析和比较。

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

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

基于混合算法的电子商务推荐系统设计研究

Study of E-Commerce Recommender System Based on Customers' Interest and Collaboration

基于用户兴趣与合作的个性化电子商务推荐系统研究

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

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

This paper builds an information recommender of agent based on the agent theory.

本文根据Agent的理论，建立了一个信息提示Agent。

GIS-Based Real Estate Recommender System Research and Design

基于GIS的房产导购信息系统研究与设计

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