本文選題：時空數(shù)據(jù) + 時間��； 參考：《計算機(jī)應(yīng)用研究》2017年05期

【摘要】：按照時空數(shù)據(jù)模型對時間和空間的表達(dá)方式,將時空數(shù)據(jù)模型分為基于時間的時空數(shù)據(jù)模型和基于空間的時空數(shù)據(jù)模型。提出了一種新的基于時空數(shù)據(jù)預(yù)測用戶社交聯(lián)系的模型,該模型將基于時間的時空數(shù)據(jù)集的特征和基于空間的時空數(shù)據(jù)集的特征進(jìn)行融合來預(yù)測用戶社交聯(lián)系。實(shí)驗(yàn)結(jié)果表明基于時間與空間特征融合的時空數(shù)據(jù)模型能更好地預(yù)測用戶的社交聯(lián)系。
[Abstract]:According to the representation of time and space in spatio-temporal data model, the spatio-temporal data model is divided into spatio-temporal data model and spatio-temporal data model based on time and space. In this paper, a new model for predicting users' social relations based on spatio-temporal data is proposed. The model combines the features of spatio-temporal data sets based on time with the features of space-time datasets based on space-time data sets to predict the social relations of users. The experimental results show that the spatio-temporal data model based on the fusion of temporal and spatial features can better predict the social connection of users.
【作者單位】： 蘇州大學(xué)計算機(jī)科學(xué)與技術(shù)學(xué)院;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(61373092,61572339,61272449) 江蘇省科技支撐計劃重點(diǎn)資助項(xiàng)目(BE2014005)
【分類號】：TP393.09
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本文編號：1867216