计算机工程与设计
計算機工程與設計
계산궤공정여설계
COMPUTER ENGINEERING AND DESIGN
2014年
10期
3367-3372,3379
,共7页
微博%预测%用户兴趣%重复学习%遗忘曲线
微博%預測%用戶興趣%重複學習%遺忘麯線
미박%예측%용호흥취%중복학습%유망곡선
micro-blog%predict%user interest%repeated learning%forgetting curve
为解决微博用户兴趣漂移问题,以人类记忆学中遗忘曲线为基础,提出一种微博用户兴趣模型,利用用户历史信息预测当前兴趣。在预测过程中,用户关注某信息的时间距离当前时间越远,该信息越容易被遗忘,其对用户当前兴趣的影响越小;用户关注某一领域的信息越多,印象越深刻,对该领域的兴趣度越高。这两点与人类对知识逐渐遗忘和重复学习的过程具有高度相似性,因此该模型预测准确性更高。实验结果表明,该模型能较好地预测微博用户兴趣,召回率可达85.3%,实用性较强。
為解決微博用戶興趣漂移問題,以人類記憶學中遺忘麯線為基礎,提齣一種微博用戶興趣模型,利用用戶歷史信息預測噹前興趣。在預測過程中,用戶關註某信息的時間距離噹前時間越遠,該信息越容易被遺忘,其對用戶噹前興趣的影響越小;用戶關註某一領域的信息越多,印象越深刻,對該領域的興趣度越高。這兩點與人類對知識逐漸遺忘和重複學習的過程具有高度相似性,因此該模型預測準確性更高。實驗結果錶明,該模型能較好地預測微博用戶興趣,召迴率可達85.3%,實用性較彊。
위해결미박용호흥취표이문제,이인류기억학중유망곡선위기출,제출일충미박용호흥취모형,이용용호역사신식예측당전흥취。재예측과정중,용호관주모신식적시간거리당전시간월원,해신식월용역피유망,기대용호당전흥취적영향월소;용호관주모일영역적신식월다,인상월심각,대해영역적흥취도월고。저량점여인류대지식축점유망화중복학습적과정구유고도상사성,인차해모형예측준학성경고。실험결과표명,해모형능교호지예측미박용호흥취,소회솔가체85.3%,실용성교강。
To solve the problem of the micro-blog user interest drift ,a micro-blog user interest model based on the forgetting curve was presented .The current interest was predicted by the history information of users .In the predicting process ,the longer the time from the users’ attention for a message to the current ,the weaker the influence of the message ;and the higher interest degree to the field ,the more attention users paid to a concerned field .These two points are regarded as the process of human gradually forgetting and repeatedly learning knowledge .Therefore ,the model possesses a higher accuracy .Experimental results show that the model can predict the micro-blog user interest better with the recall rate of 85.3% and good practicality .