FCA-based CBR Recommender System in Itinerary Recommendations

• Main Authors: Wen-ni Chen, 陳文妮
• Other Authors: Ji-Shi Hsu
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/29025847857915224531

碩士 === 雲林科技大學 === 資訊管理系碩士班 === 96 === Decision-making of online consumers depends on the enrichment of information that can get in advance. World Wide Web can provide sufficient information for all consumers’ need nowadays, but consumers have to sustain the shortcoming of internet—information overload, while they are enjoying the use of e-commerce. Making a travel plan is the most important thing before going on a tour. But the complicated product structure of tourism and information overload on the internet make the decision-making of consumers more difficult. We aim to use Formal Concept Analysis and Case-based Reasoning to implement an itinerary recommender system that provide a platform for itinerary searching. The system contains a mechanism to refine the recommendation rules according to the users’ evaluations upon searching results. We expect the system to carry out the benefits of reducing searching cost and knowledge sharing.