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《基于協(xié)同過濾的個性化推薦相似度測量算法的分析》由會員上傳分享，免費在線閱讀，更多相關(guān)內(nèi)容在學(xué)術(shù)論文-天天文庫。
1、AbstracttechnologybasedonkNNisextremedependenceontheratingsimilarityinthechoiceofnearestneighbors,auser-attribute-weightedactivek-nearestneighbor’scollaborativefilteringalgorithmwasproposed.Firstly,theuser'sfeatureattributeswereintroducedandfusedminimumweightsimilarity.kNNnear
2、estneighborssetofthetargetusersweregeneratedaccordingtothefinalsimilarity.Activeuser'ssubpopulationsoftargetitemsweregeneratedfromuserswhohadfeedbackfromthetargetitems.Theactiveuser'ssubpopulationsofkNNnearestneighborswereselectedastheactivenearestneighborsetsoftargetusers.Fin
3、ally,scorepredictswereproduced.Experimentalresultsonthepublicdatasetsshowthattheproposedalgorithmcaneffectivelyimprovetherecommendationaccuracyandhasbetterstability.Keywords：collaborativefiltering;cloudmodel;similarity;usercharacteristicattribute;kNNIII萬方數(shù)據(jù)江西理工大學(xué)碩士學(xué)位論文目錄目錄摘要..
4、...................................................................IAbstract....................................................................II第一章緒論..................................................................11.1課題研究的背景及意義..............................................
5、..11.2研究現(xiàn)狀分析........................................................31.3論文的研究工作和組織結(jié)構(gòu)............................................51.3.1主要工作.......................................................51.3.2結(jié)構(gòu)安排.......................................................5第二章協(xié)同過濾算法.........
6、.................................................72.1協(xié)同過濾推薦系統(tǒng)....................................................72.2協(xié)同過濾算法分類....................................................82.2.1基于kNN最近鄰居推薦算法.......................................92.2.2基于項目物品的協(xié)同過濾算法.......................
7、.............102.2.3基于聚類模型的協(xié)同過濾算法....................................112.2.4基于貝葉斯模型的協(xié)同過濾算法..................................132.2.5基于潛含語義模型的協(xié)同過濾算法................................132.2.6基于云模型的協(xié)同過濾算法......................................132.3協(xié)同過濾面臨的問題與挑戰(zhàn).........................
8、..................142.4本章小結(jié)..................................
