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Article in Chinese | WPRIM (Western Pacific) | ID: wpr-514059

ABSTRACT

By integrating data of sci-tech novelty retrieaval and internet data,the paper makes a precise analysis of the potential demands,interest,interest,tendency,preferences and habits of users of novelty retrieval.From the perspective of big data technology,it analyzes the feasibility of designing targeted and deep-level services for mass user data,puts forward the framework and method of conducting deep-level and precise service recommendation based on users of sci-tech novelty retrieval,and studies the opportunity to provide these users with deep-level and precise services.

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