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- W2385105989 abstract "Online paper publication is an inevitable trend in future academic exchange.However,the existing online publiscation platforms have some deficiencies in personalized service,the quality control of papers,the integration and dynamic scheduling of paper resources,and the control and utilization of metadata.To solve there problems,this paper presents such technological approaches as user interest modeling based on historical data and behavior data of users,personalized information pushing service based on the user interest model,paper quality control mechanism based on open reviewing and interactive writing,and rich literature provision based on analysis of citation links.These approaches will play a positive role in improving the user participation of the existing platforms,quality of papers and quality of service,etc." @default.
- W2385105989 created "2016-06-24" @default.
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- W2385105989 date "2009-01-01" @default.
- W2385105989 modified "2023-09-23" @default.
- W2385105989 title "Analysis on Content Grouping and Pushing Technologies for Online Paper Publication Platform" @default.
- W2385105989 hasPublicationYear "2009" @default.
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