讀者興趣預測與發現模型的準確性和時效性是圖書館個性化服務的關鍵,可以從圖書館小數據中發現讀者的興趣,為讀者提供更好的個性化服務。文章針對讀者的興趣非靜態,且隨著時間的推移而動態變化的特點,在對大數據和小數據關系研究的基礎上,提出一種基于小數據的讀者個性化興趣預測與發現模型,該模型在預測讀者興趣方面有較高的可信度和準確度。

The accuracy and efficiency of reader interest forecasting and discovery model is a key for library to get reader interests from small data in the library, and to provide better personalized service to readers. Given that reader interests are not static and changes dynamically as time goes by,studies are conducted on the relationship between big data and small data,and a personalized interest forecasting and discovery model of library reader is presented based on small data. The model is of high reliability and accuracy to forecasting readers’ interests.