Design and Implementation of MapReduce-Based Book Recommendation System by Analysis of Large-Scale Book-Rental Data

摘要

We design and implement a book recommendation system that can extract and suggest the books preferred by users through keyword-matching based on the information of frequently checked out books. The MapReduce programming model on the Hadoop platform is used to extract frequently rented books by using keyword-mapping with a target book. The MapReduce operations designed and implemented in this paper are performed to analyze the actual book-rental log data accumulated in university library, which has the characteristics of big data. An illustrative example shows that our book recommendation system can provide users with the information of the recommended books by keyword-mapping in the next book rent.