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Enterprise Knowledge Recommendation Approach Based on Context-aware of Time-sequence Relationship

Year: 2017

Type: conference-paper

Abstract: Enterprise knowledge recommendation approach combines two elements of knowledge and context. And knowledge and context composed context data pool. Knowledge consist of associated knowledge elements. Context refers to the time context. Based on the analysis of time context, considering the effect of time context on knowledge recommendation. Gantt chart is applied to describe the time-sequence relationship in the knowledge recommendation process. And through visual analysis of R programming language, it confirms the importance of time context. Enterprise knowledge recommendation approach is proposed based on context-aware. It improves the knowledge recommendation accuracy, and helps employees’ knowledge reuse effectively.

Source: Procedia Computer Science

DOI: 10.1016/j.procs.2017.03.104

Authors: Jun Song, Hongfei Zhan, Junhe Yu, Qi Zhang, Yinan Wu

Institution: Ningbo University

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province

Award: 面向产业集群广义制造系统的知识模块化机理研究