本文選題：小數(shù)據(jù) + 讀者��； 參考：《圖書(shū)館論壇》2017年05期

【摘要】：讀者興趣預(yù)測(cè)與發(fā)現(xiàn)模型的準(zhǔn)確性和時(shí)效性是圖書(shū)館個(gè)性化服務(wù)的關(guān)鍵,可以從圖書(shū)館小數(shù)據(jù)中發(fā)現(xiàn)讀者的興趣,為讀者提供更好的個(gè)性化服務(wù)。文章針對(duì)讀者的興趣非靜態(tài),且隨著時(shí)間的推移而動(dòng)態(tài)變化的特點(diǎn),在對(duì)大數(shù)據(jù)和小數(shù)據(jù)關(guān)系研究的基礎(chǔ)上,提出一種基于小數(shù)據(jù)的讀者個(gè)性化興趣預(yù)測(cè)與發(fā)現(xiàn)模型,該模型在預(yù)測(cè)讀者興趣方面有較高的可信度和準(zhǔn)確度。
[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.
【作者單位】： 蘭州財(cái)經(jīng)大學(xué)信息中心;
【基金】：“蘭州財(cái)經(jīng)大學(xué)科研專(zhuān)項(xiàng)經(jīng)費(fèi)”支持
【分類(lèi)號(hào)】：G252;TP311.13
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本文編號(hào)：1974505