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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/80408

    Title: 運用行動雲端運算技術之智慧型線上購物比價推薦系統
    Other Titles: The Intelligent Pricing and Recommendation System for On-line Shopping based on Mobile Cloud Techniques
    Authors: 姜國輝;Chiang, Johannes K.
    劉羿廷;Liou, Yi Ting
    朱家棋;Chu, ChiaChi
    Contributors: 國立政治大學邁向頂尖大學計畫創新研究團隊
    Keywords: 行動商務;比價推薦系統;巨量資料;雲端運算;Apriori演算法
    mobile commerce;pricing and recommendation system;big data;cloud computing, Apriori algorism
    Date: 2014-11-15
    Issue Date: 2016-01-06 10:57:17 (UTC+8)
    Abstract: 隨著行動裝置爆炸性成長,使用者開始使用行動裝置尋找所需商品的需求不斷攀升,但目前仍存在許多問題。線上電子商務平台累積商品數量龐大,其資訊過於繁雜,使用者無法精確地找到所需的商品,而至今電子商務推薦系統僅限於比價或類似商品推薦。故本研究欲建立智慧型線上購物比價推薦系統,以行動應用(APP)做視覺化呈現,利用分類樹(taxonomy tree) 將電子商務龐大的資料作結構化處理,提升商品搜尋的準確度,並以使用者行為為分析基礎,透過雲端分散式運算配合Apriori演算法來產生相似度極高且符合使用者偏好(Preference)推薦機制,推薦更符合使用者需求的商品清單。本研究目標是一個綜合商品比價、功能需求及物流方式的推薦系統,對未來行動電子商務之發展之貢獻與助益良多。
    With the rapid growth of mobile devices, the mobile commerce become more and more popular. However, the products on the on-line shops are too numerous to find the thing what consumers want, and present recommendation system are common pricing or finding similar products. We want to build the Intelligent Pricing and Recommendation System to use taxonomy tree to structure products big data and promote the search accuracy through the App. Furthermore, we base on the user analysis to integrate Apriori algorithm and cloud computing to build a recommendation mechanism which fit users preference and produce high similar product list for consumers. Our goal is developing the recommendation system which integrated pricing, function requirement, and logistic to have a great contribution for mobile commerce in the future.
    Relation: 創新研究國際學術研討會
    Data Type: conference
    Appears in Collections:[2014創新研究國際學術研討會] 會議論文

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