隨著科技資訊的蓬勃發展，線上購物已成為非常普遍的行為，可購買的品項包羅萬象，包括高價的精品、禮物到日常生活所需的民生用品。許多線上商店會建立推薦系統以便利顧客的整個購物流程。到目前為止，一般的推薦系統主要是從購買紀錄中得知顧客的喜好。然而，我們注意到尚未有一套推薦系統在為顧客建立產品推薦清單時，有考量到產品補給的需要性或產品購買的經濟性。因此，我們開發一套嶄新的推薦法則用於線上民生購物系統，此一推薦法則除具過去已有的一般推薦功能外，還特別額外考量民生購物時，與採購時機息息相關的兩個特殊需求：產品的補給需求性和產品促銷時之經濟採購性。我們相信此一推薦法則應能提供顧客更好的推薦清單以符合顧客們當下的喜好、需求、及消費預算考量，從而促進線上民生購物的交易。

Online grocery shopping becomes more and more popular in recent years. To facilitate the purchase process, many online stores provide a shopping recommendation system for their consumers. So far, the generic recommendation systems mainly consider preferences of a consumer based on his/her purchase histories. Nevertheless, it is noted that there is nothing to do with the right timing to purchase a product from the view point of product replenishment or economic purchasing. Hence, we develop a new recommendation scheme especially for online grocery shopping by incorporating two additional considerations, i.e., product replenishment and product promotion. We believe that such a new scheme should be able to provide a better recommendation list which fit consumer preferences, needs, and budget considerations and finally boost transactions.

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