图书馆小数据读者个性化兴趣预测与发现模型的构建

发布时间：2018-06-03 22:36

  本文选题：小数据 + 读者　； 参考：《图书馆论坛》2017年05期

【摘要】：读者兴趣预测与发现模型的准确性和时效性是图书馆个性化服务的关键,可以从图书馆小数据中发现读者的兴趣,为读者提供更好的个性化服务。文章针对读者的兴趣非静态,且随着时间的推移而动态变化的特点,在对大数据和小数据关系研究的基础上,提出一种基于小数据的读者个性化兴趣预测与发现模型,该模型在预测读者兴趣方面有较高的可信度和准确度。
[Abstract]:The accuracy and timeliness of the model of prediction and discovery of readers' interest is the key to the personalized service of library. It can discover the interest of readers from the small data of library and provide better personalized service for readers. Aiming at the non-static and dynamic characteristics of readers' interest, based on the study of the relationship between big data and small data, this paper proposes a model of prediction and discovery of readers' personalized interest based on small data. The model has high reliability and accuracy in predicting readers' interest.
【作者单位】： 兰州财经大学信息中心;
【基金】：“兰州财经大学科研专项经费”支持
【分类号】：G252;TP311.13
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本文编号：1974505