【摘要】：【目的/意義】讀者的閱讀興趣可分為短期興趣和長期興趣,具有不穩(wěn)定性。讀者興趣發(fā)現(xiàn)模型作為圖書館個性化服務推送的基礎和核心,其準確性和時效性是圖書館個性化服務有效的關鍵。當前,采集讀者的閱讀行為信息,從中挖掘隱性知識并獲取讀者的閱讀興趣,已成為目前圖書館個性化服務一個重要的研究方向�！痉椒�/過程】本文提出了一種基于小數(shù)據(jù)決策的讀者興趣發(fā)現(xiàn)與預測模型�！窘Y果/結論】通過對讀者小數(shù)據(jù)的測試和分析,可增強圖書館對讀者服務需求預測的精度,提升圖書館個性化服務推薦的效率,改善圖書館個性化服務的質量,滿足讀者的個性化服務需求。
[Abstract]:The reader's reading interest can be divided into short-term interest and long-term interest. As the basis and core of library personalized service push, the reader's interest discovery model is the key to the effectiveness of library's personalized service, and its accuracy and timeliness are the key to the effectiveness of the library's personalized service. At present, the readers' reading behavior information is collected, the tacit knowledge is excavated and the readers' reading interest is gained. It has become an important research direction of library personalized service. [method / process] this paper presents a model of reader's interest discovery and prediction based on small data decision making. [results / conclusions] A model of reader's interest discovery and prediction based on small data decision is proposed. Testing and analysis of data, It can enhance the accuracy of forecasting the service demand of readers, improve the efficiency of the recommendation of personalized service, improve the quality of personalized service, and meet the needs of personalized service of readers.
【作者單位】： 蘭州財經(jīng)大學信息中心;蘭州財經(jīng)大學電子商務綜合實驗室;
【分類號】：G252
，

本文編號：2313158