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An Online Book Recommendation System Based on Web Service

机译:基于Web Service的在线图书推荐系统

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Book recommendation system has been developed rapidly due to the Web technology and library modernization, which provide a new way for the librarians to acquire the readersȁ9; demands. However, existing recommendation systems canȁ9;t supply enough information for readers to decide whether to recommend a book or not, and they donȁ9;t analyze the recommendation information. Some systems also lack of a feedback mechanism for readers, which would hurt their enthusiasm. In order to solve these problems, we designed a novel book recommendation system. Readers will be redirected to the recommendation pages when they canȁ9;t find the required book through the library bibliographic retrieval system. The recommendation pages contain all the essential and expanding book information for readers to refer to. Readers can recommend a book on these pages, and the recommendation data will be analyzed by the recommendation system to make scientific purchasing decision. We proposed two formulas to compute the book value and copy number respectively based on the recommendation data. The application of the recommendation system shows that both the recommended book utilization and readersȁ9; satisfaction were greatly increased.
机译:网络技术和图书馆现代化的推动,图书推荐系统得到了快速发展,这为图书馆员获取读者提供了一种新途径[9]。需要。但是,现有的推荐系统无法为读者提供足够的信息来决定是否推荐一本书,并且不能分析推荐信息。一些系统还缺乏针对读者的反馈机制,这会损害他们的热情。为了解决这些问题,我们设计了一种新颖的图书推荐系统。 9读者无法通过图书馆书目检索系统找到所需书籍时,他们将被重定向到推荐页面。推荐页面包含所有必不可少的和不断扩展的图书信息,供读者参考。读者可以在这些页面上推荐一本书,并且推荐系统将分析推荐数据以做出科学的购买决策。我们根据推荐数据提出了两个公式分别计算账面价值和复印数量。推荐系统的应用表明,推荐书的使用率和读者人数均达到9。满意度大大提高。

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