發(fā)布時(shí)間：2019-07-27 08:17

【摘要】：近些年,科研社交網(wǎng)站中的科技論文數(shù)量呈現(xiàn)出爆炸式增長(zhǎng)的趨勢(shì),用戶很難發(fā)現(xiàn)符合自己要求的科技論文,而科技論文推薦正是解決這個(gè)問(wèn)題的有效方法之一。但是現(xiàn)有科技論文推薦方法大多專注于評(píng)分預(yù)測(cè)的準(zhǔn)確性,忽視了推薦科技論文之間的排序問(wèn)題,并且現(xiàn)有的科技論文推薦方法沒(méi)有充分利用科研社交網(wǎng)站中的社會(huì)化信息。為此,提出了一種改進(jìn)List-wise的科技論文推薦方法,系統(tǒng)地分析了科研社交網(wǎng)站中的好友關(guān)系,科技論文的標(biāo)題、摘要和標(biāo)簽等社會(huì)化信息,并將其融入到List-wise方法中。為了驗(yàn)證提出方法的有效性,抓取了科研社交網(wǎng)站Cite ULike上的數(shù)據(jù)進(jìn)行驗(yàn)證,實(shí)驗(yàn)結(jié)果表明,與其他傳統(tǒng)的推薦方法相比,該方法取得了較好的實(shí)驗(yàn)結(jié)果,具有良好的可擴(kuò)展性。
[Abstract]:In recent years, the number of scientific and technological papers in scientific and social networking sites has shown an explosive growth trend, it is difficult for users to find scientific and technological papers that meet their own requirements, and the recommendation of scientific and technological papers is one of the effective ways to solve this problem. However, most of the existing scientific and technological paper recommendation methods focus on the accuracy of scoring and prediction, ignoring the ranking problem between recommended scientific and technological papers, and the existing scientific and technological paper recommendation methods do not make full use of the social information in scientific research social networking sites. Therefore, this paper puts forward a method to improve the recommendation of scientific and technological papers in List-wise, systematically analyzes the social information such as friend relationship, title, abstract and label of scientific and technological papers in scientific research social networking sites, and integrates them into List-wise method. In order to verify the effectiveness of the proposed method, the data on the scientific research social networking site Cite ULike are grasped for verification. The experimental results show that compared with other traditional recommended methods, this method has achieved better experimental results and has good scalability.
【作者單位】： 合肥工業(yè)大學(xué)科學(xué)技術(shù)研究院;合肥工業(yè)大學(xué)管理學(xué)院;
【基金】：國(guó)家自然科學(xué)基金資助項(xiàng)目(71101042,71471054,91646111) 安徽省自然科學(xué)基金資助項(xiàng)目(1608085MG150) 合肥工業(yè)大學(xué)應(yīng)用科技成果培育計(jì)劃資助項(xiàng)目(JZ2017YYPY0235)
【分類號(hào)】：TP391.3
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本文編號(hào)：2519876