Research on the Application of User Behavior Big Data Model in Digital Intelligence Reading Service*

this study constructs a reader behavior big data analysis model using HadHoop big data analysis technology, builds an HDFS distributed file system to collect, transform and store library reader behavior big data, analyzes the utilization status of library resource and uncovers the genuine needs of readers using the MapReduce parallel computing mode, explores how to provide data support for predicting user needs, making user procurement decisions, and improving the efficiency of reading services using big data mining algorithms.