個人化電子商務搜尋引擎設計與實作;The Design and Implementation of Personal EC Search Engine

[[abstract]]本論文實作一個個人化商品搜尋引擎。本搜尋引擎可以依據使用者對商品的興趣來調整搜尋結果的順序，以便使用者更方便地找到有興趣的商品。本系統包含一個商品資訊爬蟲，每天到台灣熱門的電子商務服務網站爬取商品資訊，還有一個Chrome瀏覽器外掛程式，藉由分析使用者在EC網站的瀏覽、搜尋行為來取得使用者對商品項目的興趣。有了使用者的興趣資訊，搜尋引擎在計算搜尋結果時，會參考使用者的喜好，將使用者較有興趣的商品項目排在較高的名次來輸出。本系統也提供商品追蹤功能，如果使用者追蹤一個商品項目，則當該商品項目有價格變動時，系統會主動通知使用者。 In this thesis, a personal product search engine is developed that can help the users find wanted product info more easily by a personalized search result ranking method. The system includes a crawler to crawl product information from popular EC sites in Taiwan daily, and we obtain the user's interest by a chrome extension that will track user's behavior in EC sites. Such information is then used to adjust the ranking of search result such that the product of more interest to the users are placed in higher positions. The system also provides a product tracking function. When a product is tracked by a user, the system will notify the user whenever such product has a price change