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序號 學年期 教師動態
1 101/1 資工系 蔣璿東 教授 研究報告 發佈 線上消費者回訪(回購)機率預測模型 , [101-1] :線上消費者回訪(回購)機率預測模型研究報告線上消費者回訪(回購)機率預測模型Online Consumer's Return Visit (Purchase) Rates Prediction System蔣璿東淡江大學資訊工程學系計畫編號:NSC101-2221-E032-050
 研究期間:201208~201307
 研究經費:534,000行政院國家科學委員會Consumer market has several characteristics in common such as revisit over the relevant time frame, a large number of customers, and a wealth of information detailing past customer purchases. Analyzing the characterizations and temporal dependencies of purchase behaviors is crucial for the enterprise to survive in a continuously changing environment. The internet advertising revenues and the commodity sales play an import role in the earning origin of e-commerce. Therefore, monitoring the members5 browse and purchase records has become emphasized for the prediction of the advertisement. Effective advertising requires predicting how a user responds to an advertisement and then targeting (presenting the advertisements) to reflect users’ favor. The behavioral target leverages historical users’ beh
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