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Factors important to expert systems success a field test
Abstract Some important determinants for Expert Systems (ES) implementation success are field tested. User satisfaction is used as the surrogate of ES success, affording some basis for inter-studyExpand
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Assessing the impact of recommender agents on on-line consumer unplanned purchase behavior
Recommendation agents (RAs) have been used by many Internet businesses such as Amazon and Netflix. However, few authors have studied how consumer behavior is affected by those that make suggestionsExpand
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Exploring the Factors Associated with Expert Systems Success
As the widespread use and company dependency on expert systems (ES) incease, so does the need to assess their value and to ensure implementation success. This study identifies and empirically testsExpand
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Assessing Expert Systems Impact on Users' Jobs
A comprehensive list of ten major expert systems (ES) related factors likely to affect users' jobs has been defined, including problem importance, problem difficulty, developer skill, domain expertExpand
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Applications of wavelet data reduction in a recommender system
Memory-based collaborative filtering (CF) recommender systems have emerged as an effective technique for information filtering. CF recommenders are being widely adopted for e-commerce applications toExpand
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Integrating artificial neural networks with rule-based expert systems
Abstract The Rule-Based (RB) and the Artificial Neural Network (ANN) approaches to expert systems development have each demonstrated some specific advantages and disadvantages. These two approachesExpand
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Recommendation agent impact on consumer online shopping: The Movie Magic case study
Highlights? This study assesses the impact of a recommendation agent (RA) on customer shopping. ? The results indicate that RA affects product promotion effectiveness. ? Product promotionExpand
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MACS: Multi-Agent COTR System for defense contracting
The field of intelligent multi-agent systems has expanded rapidly in the recent past. Multi-agent architectures and systems are being investigated and continue to develop. To date, little has beenExpand
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Assessing the moderating effect of consumer product knowledge and online shopping experience on using recommendation agents for customer loyalty
Social media technologies have greatly facilitated the creation of many types of user-generated information, e.g., product rating information can be used to generate preference-based recommendation.Expand
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Advancing the Impact of Design Science: Moving from Theory to Practice
Although sustainability is a key concern in today’s world, more efforts towards achieving sustainability are needed. User inclusion in the information system design process could enhance the outcomeExpand
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