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首页> 外文期刊>The Electronic Library >Developing a novel recommender network-based ranking mechanism for library book acquisition
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Developing a novel recommender network-based ranking mechanism for library book acquisition

机译：开发一种新颖的基于推荐者网络的图书馆图书采购排名机制

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摘要

Purpose - Most academic libraries provide book recommendation services to enable readers to recommend books to the libraries. To facilitate decision-making in book acquisition, this study aimed to develop a method to determine the ranking of the recommended books based on the recommender network. Design/methodology/approach - The recommender network was conducted to establish relationships among book recommenders and their similar readers by using circulation records. Furthermore, social computing techniques were used to evaluate the degree of representativeness of the recommenders and subsequently applied as a criterion to rank the recommended books. Empirical studies were performed to demonstrate the effectiveness of the proposed ranking system. The Spearman's correlation coefficients between the proposed ranking system and the ranking obtained using reader circulation statistics were used as performance measure. Findings - The ranking calculated using the proposed ranking mechanism was highly and moderately correlated to the ranking obtained using reader circulation statistics. The ranking of recommended books by the librarians was moderately and poorly correlated to the ranking calculated using reader circulation statistics. Practical implications - The book recommender can be used to improve the accuracy of book recommendations. Originality/value - This study is the first that considers the recommender network on library book acquisition. The results also show that the proposed ranking mechanism can facilitate effective book-acquisition decisions in libraries.
机译：目的-大多数大学图书馆都提供书籍推荐服务，以使读者能够向图书馆推荐书籍。为了促进图书采购中的决策制定，本研究旨在开发一种基于推荐者网络确定推荐图书排名的方法。设计/方法/方法-进行了推荐网络，以使用发行记录建立图书推荐者及其相似读者之间的关系。此外，社交计算技术被用于评估推荐者的代表性程度，随后被用作对推荐书籍进行排名的标准。进行了实证研究，以证明所提出的排名系统的有效性。将拟议的排名系统与使用读者流通量统计数据获得的排名之间的Spearman相关系数用作绩效指标。调查结果-使用建议的排名机制计算的排名与使用读者发行量统计数据获得的排名高度和中等相关。图书馆员推荐书籍的排名与使用读者发行量统计数据计算出的排名之间存在中等程度的关联，但关联度很低。实际意义-推荐书可以用来提高推荐书的准确性。原创性/价值-这项研究是第一个考虑推荐图书馆藏书网络的研究。结果还表明，所提出的排名机制可以促进图书馆中有效的购书决策。

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