Recommendations of E-commerce Seller Based on Buyer Feedbacks

• Main Authors: Yu-Chin Yang, 楊育欽
• Other Authors: Yin-Fu Huang
• Format: Others
• Language: en_US
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/99439369178056879758

碩士 === 國立雲林科技大學 === 資訊工程系 === 102 === Online shopping will become increasingly popular as more and more people have been changing their shopping ways from traditional to online shopping. However, sometimes it is difficult for a buyer to decide which seller is good for his/her purchases. Therefore, it is necessary to design a system that can recommend sellers for a buyer to purchase his/her products from them. In this paper, a seller recommendation system using user feedback is proposed. The seller recommendation system is to rank the sellers selling the products specified by buyers. Buyers can specify products and budgets as they need. Finally, the experimental results show that an seller being able to provide excellent services should be experienced for more than 10 years and our system can actually reflect the real situation by contrasting the top rated sellers recognized by the eBay site.