Abstract：Integrating context awareness into reading recommendation services of smart library, this paper builds a smart library reading recommendation service model from four aspects of human-computer interaction, context adaptation, intelligence cognition, and autonomous adjustment through analysis of ideas and architecture. The entire system consists of six scenarios: user, resource, service, social, mobile, and technology context. It uses user context to describe user scenarios to improve users' acceptance of reading recommended information; analyzes resource context through resource reorganization to ensure service foundation; divides service context using defined services to grasp the performance of reading recommendation services; uses social media to analyze and guide social context to change users' reading habits; uses smart devices to comprehensively use mobile context to improve the interaction between users and reading recommendation services; and is compatible with technological context and technological perceptions to improve users' perception of reading behavior. Finally, it realizes the transformation from library reading recommendation service to smart service.
程全. 基于情景感知的智慧图书馆阅读推荐服务模型构建与优化策略[J]. 图书馆工作与研究, 2021, 1(10): 119-128.
Cheng Quan. Model Construction and Optimization Strategy of Reading Recommendation Service in Smart Library Based on Context Awareness. Library Work and Study, 2021, 1(10): 119-128.
