本文提出了基于数量化i类理论的人工心理模型的建模方法，并介绍了该模型在个性化商品推荐系统中的应用。
We propose a modeling method of artificial psychology which based on Quantification Theory I and introduce how to apply it in recommender system in this paper.
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.
在上述工作的基础上，设计并实现了基于兴趣模型的个性化信息推荐系统。
On the ground of above work, we designed and implemented a personalized information recommendation system of interest-based model.
目前，基于情景模型的数字图书馆个性化服务主要通过个性化检索和个性化推荐两种方式实现。
At present, there are mainly two ways to implement digital library personalized services based on contextual model, that is, through personalized retrieval and personalized recommendation.
该模型较传统的个性化推荐在的速度和准确性上都有较大的改善，应用领域广泛，为个性化信息服务的提供者提供了很好的参考价值。
Compared with the traditional personalized recommendation model, this one had higher speed and better accuracy, which provided important guiding value for many personalized information servers.
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