【摘要】：用戶評分標(biāo)準(zhǔn)不一致導(dǎo)致不同用戶對同一商品評分不可比較.為在不同用戶對同一商品評分不可比較時提高在線商品評價的客觀性,提出了一種考慮用戶評分標(biāo)準(zhǔn)不一致性的在線商品評價方法.首先基于用戶之間的相似性對不完全評分?jǐn)?shù)據(jù)進行填充;然后根據(jù)填充得到的用戶-商品評分矩陣計算用戶對在線商品的偏好關(guān)系;最后基于群決策理論中的Schulze社會選擇函數(shù),通過構(gòu)建加權(quán)有向圖并計算最強路徑得到商品評價.評價結(jié)果反映群體的偏好,從而使得消費者可以參考該評價結(jié)果做出正確的購買決策.同時,方法基于在線商品兩兩比較的評價方式,提高了操縱商品評價結(jié)果的復(fù)雜性.通過理論分析和實驗驗證了該商品評價方法的合理性和有效性.
[Abstract]:The inconsistency of the user rating standard leads to the incomparable rating of the same item by different users. In order to improve the objectivity of online commodity evaluation, an online commodity evaluation method considering the inconsistency of user rating criteria is proposed to improve the objectivity of online commodity evaluation when different users' ratings on the same item are not comparable. Firstly, the incomplete scoring data is filled based on the similarity between users, and then the user's preference for online goods is calculated according to the filled user-commodity scoring matrix. Finally, based on the Schulze social selection function in group decision theory, commodity evaluation is obtained by constructing weighted digraph and calculating the strongest path. The evaluation result reflects the preference of the group, so that the consumers can make the correct purchase decision based on the evaluation results. At the same time, the method based on online commodity pairwise comparison improves the complexity of manipulating commodity evaluation results. The rationality and validity of the method are verified by theoretical analysis and experiments.
【作者單位】： 昆明理工大學(xué)信息工程與自動化學(xué)院;云南省計算機技術(shù)應(yīng)用重點實驗室;云南大學(xué)信息學(xué)院;
【基金】：國家自然科學(xué)基金項目(61462056,61472345,81560296,61462051)資助 云南省應(yīng)用基礎(chǔ)研究計劃項目(2014FA028)資助
【分類號】：F724.6;TP393.092

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