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  • 學位論文

整合資料探勘和情境感知建置智慧型購物環境

Integrating Data Mining and Context-Aware Technologies to Construct the Intelligent Shopping Environment

指導教授 : 陳牧言

摘要


以零售業者為例,透過分析大量的交易記錄,找出消費者需求的關聯規則分析,讓業者產生行銷策略帶來競爭力;此外,情境感知概念是為減少使用者與資訊系統的資訊介面隔閡,讓資訊系統主動的瞭解使用者情境與需求,將可回饋使用者更良好的體驗;因此,本研究基於情境感知概念與關聯規則分析整合,並且以實體購物環境為例,建置情境感知推薦系統(Context-Aware Recommendation System;CARS),透過簡易RSSI室內定位模組(Simple RSSI Indoor Localization Module,SRILM)能簡易定位使用者於購物環境中的位置,結合Apriori 推薦模組(Apriori Recommendation Module; ARM)能根據使用者位置的鄰近商品類別,給予商品類別的取樣資料進行關聯規則分析,找出使用者鄰近商品的關聯規則作為推薦依據。 本研究為驗證CARS的系統可行性,分別針對SRILM進行定位準確率實驗、ARM進行情境差異規則探勘實驗;實體購物環境且建立模擬消費記錄資料集,定義模擬環境的100平方公尺方形空間與展售物品,並且發放模擬消費問卷,施測結果回收有效問卷67份,共產生模擬消費資料記錄394筆;以模擬環境進行SRILM定位機制準確率實驗,結果顯示準確率高於LANDMARC與HALS定位機制;而SRILM與ARM的整合應用,以使用者位置鄰近商品類別作為取樣權重,產生以使用者位置為基礎的資料集,作為ARM的資料來源,實驗結果顯示,以商品出現頻率排序的位置權重取樣資料集,進行ARM關聯規則分析結果,代表CARS可以使用者位置為依據,進行差異化推薦於實體購物環境,提供一個可行且不同於傳統關聯規則的行銷策略。

並列摘要


Take the retail industry as an example. The association rule between consumer demand is identified from analyzing massive transaction records so retailers can come up with marketing strategy to bring out their competitiveness. The Context-Aware Concept is to reduce the gap between users and information system so that the information system actively get to understand users’ context and demand and in return provide users with better experience. In view of the fact that, in recent years, the power of social media brings much concern, this study integrates the concept of Context-Aware with association algorithms and social media to establish the Context-Aware Recommendation System(CARS). The Simple RSSI Indoor Localization Module (SRILM) locates the user position; integrating SRILM with Apriori Recommendation Module (ARM) provides effective recommended product information. This study develops the system based on actual context. SRILM is one simple positioning method with the advantages of lower costs and easy arrangement compared with other indoor positioning methods.

參考文獻


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被引用紀錄


莊家豪(2016)。結合社群網路和情境感知建置社群分享推薦〔碩士論文,國立臺中科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0061-0202201613282900

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