基于神经网络模型的个性化服务研究

Research on Personalized Service Based on Neural Network Model

由于Web上信息的异构性、多样性和动态性,互联网也带来了所谓的"信息过载"和"信息迷向"的问题,个性化服务系统按照特定的用户群体和个人的需求定制服务的内容和表现,可以预测用户的需求,提供主动服务,其基本原理就是根据对各个用户不同的兴趣描述,通过相应的推荐算法为用户提供符合其兴趣的信息。待用户兴趣特征确定后,就可以建立用于个性化网页推荐的用户神经网络模型,向用户推荐个性化网页。

As Web information＇s isomerism, multiplicity and dynamicity, the Intemet also bring the questions, it is so-called the information overload and the information confusion, the system of personalization service can provide custom-made services on content and performance according to the specific users＂ community and individual demand, and even forecast users＇ demand. Its basic principle is due to each user＇s different interest description, provides the information which attracts users＇ interest through corresponding recommendation algorithm. After determining the users＇ interest characteristic, the system can establish the user neural network model used in the personalized Webpage recommendation.