User Knowledge Requirement Model and its Hybrid Evolution Algorithm

Autor:	Zhang Lei, Ding Shifei, Xia Shixiong, Zhou Yong, Ding Qiulin
Rok vydání:	2008
Předmět:	Information management Knowledge-based systems Knowledge extraction Computer science User modeling Open Knowledge Base Connectivity Computer user satisfaction User requirements document Algorithm User interface design
Zdroj:	ITNG
DOI:	10.1109/itng.2008.99
Popis:	How to describe knowledge requirement of the user engaged in work and its change is a critical problem in knowledge management. User knowledge requirement model is proposed by combining business process with personalization in the paper. Key factors and their relation of the user knowledge requirement are described in user knowledge requirement model. User knowledge hybrid evolution algorithm which includes the user knowledge real-time evolution algorithm and the user knowledge phase evolution algorithm is given. The change of user knowledge after he read recommended knowledge sources is processed by user knowledge real-time evolution algorithm. User knowledge forgetting is reflected by user knowledge phase evolution algorithm. The method is confirmed through an application case.
Databáze:	OpenAIRE
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