| 张弸,李强.基于情景要素适配的高校图书馆资源推荐服务研究[J].数字图书馆论坛,2020,(8):42~47 |
| 基于情景要素适配的高校图书馆资源推荐服务研究 |
| Research on University Library Resource Recommendation Service Based on Situational Factor Adaptation |
| 投稿时间：2020-04-23 |
| DOI：10.3772/j.issn.1673-2286.2020.08.007 |
| 中文关键词: 资源推荐；情景适配；高校图书馆 |
| 英文关键词: Resource Recommendation; Situational Adaptation; University Library |
| 基金项目: |
| 作者 | 单位 | | 张弸 | 哈尔滨医科大学图书馆 | | 李强 | 南通大学图书馆 |
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| 中文摘要: |
| 高校图书馆资源推荐效用是评价其服务绩效的重要指标。在系统识别基于用户画像的资源推荐要素基础上，对其内生性关联关系进行合理化、有序化分析，能够显著提高高校图书馆资源供需适配程度，并强化用户的使用体验与价值感知。本文采用归纳演绎方法深度挖掘高校图书馆资源推荐要素的核心构成内容，构建高校图书馆资源推荐情景适配服务框架，并对资源推荐要素间的关联、耦合、映射等内在作用特征进行描述性分析，据此提出旨在促进高校图书馆资源推荐要素情景化多维适配的可行性策略，以期为高校图书馆资源空间再造与情景优化提供现实参考。 |
| 英文摘要: |
| University library resources recommended utility is an important index of its service performance evaluation: portraits in the system identification based on user resources recommended elements, based on the relationship of natural rationalization, ordering analysis, can significantly improve the adaptation degree of university library resources supply and demand, and strengthen the use of user experience and value perception. Through inductive deductive method the depth of mining resources recommended elements of the core content of university library, based on the perspective of mobile services to build the mechanism of the university library resources recommended situational adaptation framework, and recommend the connections between elements of resources, coupling, mapping and other inner characteristics of descriptive analysis, accordingly put forward to promote the university library resources contextualized multi-dimensional adaptation strategy, the feasibility of the recommended elements for the university library resources space reconstruction and situational optimization provides practical reference. |
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