Construction of Accurate Service System of Digital Resources in University Library Based on Fuzzy Comprehensive Evaluation Method and Collaborative Recommendation Algorithm

Authors

  • Jie Kong

Abstract

In the era of big data, great changes have taken place in the ways in which users of digital libraries acquire information and knowledge, and their service needs have become more diversified and personalized. Collaborative filtering recommendation algorithm provides a new and efficient algorithm mode for smart library. It has become an important content in the field of digital library to carry out the research of personalized recommendation system, build an effective personalized information recommendation system, quickly and efficiently obtain relevant knowledge from massive data and information, improve the intelligence level of resource retrieval and recommendation, and meet the different personalized needs of various users. Based on the fuzzy comprehensive evaluation method and collaborative recommendation algorithm, this paper analyzes the development opportunities and challenges of digital library services in the big data environment, and establishes the system framework of digital library precision knowledge service and precision knowledge in the era of big data.

Published

2020-10-26

Issue

Section

Articles