数据加载中.....
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结果 176-200 / 374.
177.
Seeing is not always believing: an exploratory study of clickbait in WeChat
彭志宏; Peng, Chih-Hung; Zhang, Wenping; Du, Wei; Bian, Yiyang; Jiang, Qiqi
,
2020-05
[資訊管理學系] 期刊論文 Internet Research, Vol.30, No.3, pp.1043-1058
machines,
decision trees, and random
forests
Random forest regression
(RFR)
A neural network (NN)
architecture based on recurrent
neural network (RNN)
RNN
188.
A Web-Based Personalized Recommendation System for Mobile Phone Selection: Design, Implementation, and Evaluation
梁定澎; Chen, Deng-Neng; Hu, Paul Jen-Hwa; Kuo, Ya-Ru; Liang, Ting-Peng
,
2010.12
[資訊管理學系] 期刊論文 Expert Systems with Applications, 37(12), 8201-8210
and advanced features, have made consumers’ purchase decision making increasingly complex. As a well-established, multiple criteria decision technique
189.
決策樹形式知識合併修剪之研究
林我聰; 馬芳資; Ma,Fang-tz; Lin,Woo-Tsong
,
2006-06
[資訊管理學系] 期刊論文 電子商務研究, 4(2), 123-156
, L. Friedman, J.H. Olshen, R. & Stone, C., Classification and
Regression Trees, Belmont, California: Wadsworth, 1984.
Breiman, L., Bagging predictors
192.
Understanding Web 2.0 service models: A knowledge-creating perspective
Shang, Shari S.C.; Li,Eldon Y.; Wu,Ya-Ling; Hou, Oliver C.L.; 尚孝純; 李有仁; 吳雅玲; 侯志霖
,
2011-05
[資訊管理學系] 期刊論文 Information and Management, 48(4-5), 178-184
link with technology adoption, capability building, and the
fulfillment of knowledge-creiting servicus. By applying all of the
functionalities, a Web
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