نتایج جستجو برای: knowledge based system
تعداد نتایج: 4808740 فیلتر نتایج به سال:
The universalistic perspective research on employing a unidimensional knowledge management (KM) strategy has yielded conflicting findings and recommendations in different contexts. This study proposes a contingency model for investigating the effects of KM strategies on KM performance to resolve these contradictions. Drawing on the knowledge-based view (KBV) of the firm, which identifies knowle...
Recommender systems engage user profiles and appropriate filtering techniques to assist users in finding more relevant information over the large volume of information. User profiles play an important role in the success of recommendation process since they model and represent the actual user needs. However, a comprehensive literature review of recommender systems has demonstrated no concrete s...
Anonymous recommender systems are the electronic pendant to vendors, who ask the customers a few questions and subsequently recommend products based on the answers. In this article we will propose attribute aware classifier-based approaches for such a system and compare it to classifier-based approaches that only make use of the product IDs and to an existing knowledge-based system. We will sho...
In early stages of design architects often use sketching and diagramming to perform formal and functional reasoning. Design sketches are an external representation aid for visualization and evaluation of the spatial arrangements of artifacts. Symbols and configurations are used in design sketches to define context and object arrangements. This paper argues the need to study design drawing, repo...
This research is focused on a semantic recommendations model that affects the life cycle of eLearning and can be used to build a knowledge-based recommender system to provide adaptive capabilities to existing learning management systems with the aim to support users in an inclusive and personalized way.
Expert systems have been developed around one expert part ly because the expert has been totally responsible for the soundness of the knowledge base. Without strong aids to help ensure soundness in building expert systems, we must rely on the soundness of the mature cohesiveness of a human expert. As knowledge bases grow this mature expertise will not be adequate. We propose a new method (for e...
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