小数据思维驱动下图书馆学术资源的个性化推荐服务探讨

小数据是大数据的补充和延伸,在聚合、分类、数据集建立过程中倾向于社会个体行为偏好数据的感知、搜集与分析,运算处理结果具有极强的针对性。小数据思维驱动下图书馆学术资源个性化推荐服务具有对用户行为偏好数据的分析程度加深、根据用户个性化需求精准推荐学术资源、提供更加精细化的服务模式的优势。优质的支持性政策、健全的学术资源体系和个性化学科服务团队是个性化推荐服务的构建要素。其建构路径为提高学术资源整合效率,建立面向用户的个性化推荐服务系统;优化个性化推荐服务内容,制定数据、知识个性化推荐标准;建立个性化推荐服务体系,实现个性化、精准化的推荐服务;重视用户的数据安全。

Discussion on Individualized Recommendation Service of Academic Resources in Libraries Driven by Small Data Thinking

Small data is the supplement and extension of big data.In the process of aggregation,classification and data set building,small data tend to perceive,collect and analyze the social individual behavior preference data.The results of operation and processing are highly targeted.The personalized recommendation service of academic resources in libraries driven by small data thinking has the advantages of deepening the analysis of user behavior preference data,accurately recommending academic resources according to user personalized needs,and providing a more refined service model.High quality supportive policies,sound academic resource system and personalized chemistry service team are the building elements of personalized recommendation service.Its construction path is to improve the integration efficiency of academic resources,establish a personalized recommendation service system for users,optimize the content of personalized recommendation service,develop personalized recommendation standards for data and knowledge,establish a personalized recommendation service system,realize personalized and accurate recommendation service,and attach importance to the data security of users.