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面对数字图书馆海量的文献信息资源,给读者所带来的问题是信息过载,而推荐技术是解决这一问题的有力工具。介绍数字图书馆信息服务资源推荐模型,并对不同模式下的资源推荐策略进行分析,包括基于内容的推荐、基于读者的推荐、基于访问行为的推荐以及组合推荐,对各种资源推荐策略的优缺点进行分析,最后指出实施数字图书馆资源推荐服务所需解决的重点和难点问题。
The face of digital library massive literature and information resources, the reader brings the problem of information overload, and recommended technology is a powerful tool to solve this problem. This paper introduces the resource recommendation model of digital library information service, and analyzes the resource recommendation strategies in different modes, including content-based recommendation, reader-based recommendation, visit-based recommendation and portfolio recommendation. Shortcomings of the analysis of the final point out the implementation of digital library resources recommended services need to address the key and difficult issues.