典型文献
A Novel Customer-Oriented Recommendation System for Paid Knowledge Products
文献摘要：
With the rapid development of knowledge payment,customers are faced with a large number of knowledge products when purchasing,leading to the need for an effective recommendation system.However,existing recommendation systems cannot accurately and adequately represent paid knowledge products with implicit but specialized features and sparse interactive histories,and thus are deemed not suitable for such products.In this paper,we propose a novel recommendation system for knowledge products,the core of which is the designed customer-oriented representation of knowledge products.Specifically,we utilize customer activity information on the free knowledge sharing platform as the knowl-edge document for each customer of paid knowledge products,to extract customer knowledge background and preference.Then,a deep learning-based model Doc2vec is adopted to transfer knowledge documents to customer knowledge background vectors.Such vectors of a particular paid knowledge product are further aggregated to a product-level vector for customer-oriented product representation,based on which two recommendation results are generated with product ratings and similarities of paid knowledge prod-ucts,respectively.Extensive comparative experiments are conducted to demonstrate the effectiveness of the proposed system for the representation and recommendation of paid knowledge products.This paper will contribute to the literature of knowledge payment and recommendation systems,as well as provide practical implications for the information service and the operation of knowledge products on knowledge payment platforms.
文献关键词：
中图分类号：
作者姓名：
Ting Yang;Jilong Zhang;Liye Wang;Jin Zhang
作者机构：
School of Business,Renmin University of China,Beijing 100872,China;International Business School,Beijing Foreign Studies University,Beijing 100089,China;State Key Laboratory of Media Convergence and Communication,Communication University of China,Beijing 100024,China;School of Economics and Management,Communication University of China,Beijing 100024,China
文献出处：
引用格式：
[1]Ting Yang;Jilong Zhang;Liye Wang;Jin Zhang-.A Novel Customer-Oriented Recommendation System for Paid Knowledge Products)[J].系统科学与系统工程学报（英文版）,2022(05):515-533
A类：
Paid
B类：
Novel,Customer,Oriented,Recommendation,System,Knowledge,Products,With,rapid,development,knowledge,payment,customers,are,faced,large,number,products,when,purchasing,leading,need,recommendation,However,existing,systems,cannot,accurately,adequately,paid,implicit,specialized,features,sparse,interactive,histories,thus,deemed,suitable,such,In,this,paper,novel,core,which,designed,oriented,representation,Specifically,utilize,activity,information,free,sharing,each,extract,background,preference,Then,deep,learning,model,Doc2vec,adopted,transfer,documents,vectors,Such,particular,further,aggregated,level,two,results,generated,ratings,similarities,respectively,Extensive,comparative,experiments,conducted,demonstrate,effectiveness,proposed,This,will,contribute,literature,well,provide,practical,implications,service,operation,platforms
AB值：
0.481852
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机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
