Interactive Recommend System Regarding Time Factor - Women and Children Merchandise E-Commerce Platform

• Main Authors: Sheng-Hui Chiu, 邱勝輝
• Other Authors: Chang-Ming Yan
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/58627102387304294690

碩士 === 銘傳大學 === 資訊管理學系碩士在職專班 === 101 === In the era of rising information technology, internet shopping has become more and more common in daily life. According to the survey by the Department of Commerce, the statistics is also increasing for the specific shopping population of Women and Children goods on e-commerce and/or auction sites. Thus survey also to know the shopper for this specific merchandise has shifted from traditional home stores to on-line stores. It’s a very large niche for e-commerce distributors of Women and Children Goods. However, unlike the usual internet shoppers, this type of merchandise is usually purchased by parents of infants and children, whose time are usually consumed by parenting. This type of shopper is usually lack of sufficient knowledge on the products and makes it difficult to shop on line. The current platform for women and children commodity rarely considers such inconvenience. Therefore, this study will use the “Critique-Based” recommendation and structure, adding the main factor of age of children. With this recommendation factor, parents who intend to purchase the merchandise without sufficient knowledge of such commodity will be able to interact directly with the system. Through the interaction of cycle behavior with the system, they will be able to find the age-appropriate merchandise quickly. In the process of interaction, the system properties of many of the products and goods across categories attributes to interactive experience, allowing user to quickly find the goods meet the preferences and the system will also intelligently applied past interactive experience to the purchased good category. So that the user’s interactive experience can be extended. This study develop the prototype system based on the proposed structural architecture, conducted a questionnaire to verify. Valid samples of 40 participants in the experiment testing and validating under traditional model and interactive recommended model, the test result found the test subjects to the system in the interactive recommended model has higher average satisfactory value in various dimensions compared to traditional model.