Research on Library Knowledge Recommendation Based on Intelligent Discovery System

Abstract

Knowledge recommendation is an innovative service model that transforms libraries from information services to knowledge services in a smart society. It can provide users with targeted and time-sensitive systemic demand solutions. The intelligent discovery system integrates information such as user portraits, user context perception and user attributes, and provides readers with accurate knowledge recommendations by constructing a resource recommendation knowledge base. This paper analyzes the constituent elements of the intelligent discovery system, studies the construction of the intelligent discovery system, and discusses the realization methods based on the knowledge recommendation of the intelligent discovery system, and provides a reference for the library service model innovation and sustainable development in the intelligent society.