基于机器学习的数字图书馆情境感知推荐服务研究

Research on context aware recommendation service of digital library based on machine learning

机器学习是人工智能领域重要的技术之一,利用该技术可以达到分析用户、洞察用户和理解用户的目的。数字图书馆情境感知推荐服务是通过情境感知技术实时获取用户情境信息,了解用户个性化需求,为用户开展推荐服务。文章认为,机器学习在数字图书馆情境感知推荐服务中的应用,可以实现用户情境需求挖掘、个性化需求特征提取及需求趋势预测等,进而提高数字图书馆情境感知推荐服务的准确度。

Machine learning is one of the important technologies in the field of artificial intelligence.Using this technology can achieve the purpose of analyzing users,insighting into users and understanding users.Context aware recommendation service of digital library is to obtain users’context information in real time through context aware technology,understand users’personalized needs,and carry out recommendation service for users.This paper holds that the application of machine learning in digital library context aware recommendation service can realize user context demand mining,personalized demand feature extraction and demand trend prediction,so as to improve the accuracy of digital library context aware recommendation service.