本文選題：用戶畫像 + 貝葉斯網(wǎng)絡(luò)��； 參考：《移動通信》2016年22期

【摘要】：為了解決用戶興趣變化動態(tài)推薦的問題,通過利用用戶的實(shí)時(shí)上網(wǎng)數(shù)據(jù)動態(tài)更新貝葉斯網(wǎng)絡(luò)各種興趣的概率,結(jié)合興趣閾值刻畫用戶畫像并實(shí)現(xiàn)移動應(yīng)用的實(shí)時(shí)推薦。經(jīng)過實(shí)驗(yàn)表明,該算法能夠有效挖掘用戶的興趣,并具有較好的擴(kuò)展性。
[Abstract]:In order to solve the problem of dynamic recommendation of user interest change, the probability of Bayesian network interest is dynamically updated by using user's real-time online data, and the user portrait is depicted by combining interest threshold and the real-time recommendation of mobile application is realized. Experiments show that the algorithm can effectively mine the interest of users and has good expansibility.
【作者單位】： 廣州杰賽科技股份有限公司;
【分類號】：TP391.3
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本文編號：2052859