發(fā)布時(shí)間：2018-11-05 19:35

【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(gè)性化服務(wù)推送的基礎(chǔ)和核心,其準(zhǔn)確性和時(shí)效性是圖書館個(gè)性化服務(wù)有效的關(guān)鍵。當(dāng)前,采集讀者的閱讀行為信息,從中挖掘隱性知識(shí)并獲取讀者的閱讀興趣,已成為目前圖書館個(gè)性化服務(wù)一個(gè)重要的研究方向。【方法/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(yù)測模型�！窘Y(jié)果/結(jié)論】通過對讀者小數(shù)據(jù)的測試和分析,可增強(qiáng)圖書館對讀者服務(wù)需求預(yù)測的精度,提升圖書館個(gè)性化服務(wù)推薦的效率,改善圖書館個(gè)性化服務(wù)的質(zhì)量,滿足讀者的個(gè)性化服務(wù)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(cái)經(jīng)大學(xué)信息中心;蘭州財(cái)經(jīng)大學(xué)電子商務(wù)綜合實(shí)驗(yàn)室;
【分類號(hào)】：G252
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本文編號(hào)：2313158