Evaluation of Users Effect Induced by Preference Elicitation in Recommendation System
碩士 === 銘傳大學 === 資訊管理學系碩士班 === 102 === Recommendation systems are being used by an ever-increasing number of E-commerce sites. The system recommend to users are personalized products must collect personal information on user preferences. Traditional collection methods have some problems like user’s a...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/16479449166019706377 |
| Summary: | 碩士 === 銘傳大學 === 資訊管理學系碩士班 === 102 === Recommendation systems are being used by an ever-increasing number of E-commerce sites. The system recommend to users are personalized products must collect personal information on user preferences. Traditional collection methods have some problems like user’s ability and willingness. Critique system can solve the above problems, but not completely replace. According to the literature, user’s personality and product complexity has an influence on user satisfaction. Understand the different situations that can enhance user satisfaction.
This study makes two recommendation systems, that different preference collection for experiment. The results of this study indicate that user satisfaction has been influenced by different preference collection. In the process of used system that user’s personality and product complexity has an influence on the result.
The results can provide a reference for recommendation system makers and increase the user satisfaction of recommendation system.
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