Invention Application
US20110270671A1 Predicting number of selections of advertisement using hierarchical Bayesian model
审中-公开
使用分层贝叶斯模型预测广告选择的数量
- Patent Title: Predicting number of selections of advertisement using hierarchical Bayesian model
- Patent Title (中): 使用分层贝叶斯模型预测广告选择的数量
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Application No.: US12772576Application Date: 2010-05-03
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Publication No.: US20110270671A1Publication Date: 2011-11-03
- Inventor: Hsiu-Kheurn Tang , Krishna Venkatraman , Lyle H. Ramshaw
- Applicant: Hsiu-Kheurn Tang , Krishna Venkatraman , Lyle H. Ramshaw
- Main IPC: G06Q30/00
- IPC: G06Q30/00 ; G06F9/44

Abstract:
A predetermined distribution type of a number of selections of an advertisement within a predetermined time period for a predetermined phrase and having a predetermined advertisement location is specified. A parameterization of a mean of the predetermined distribution type is also specified. The mean is determined using a hierarchical Bayesian model, based on the predetermined distribution type, the parameterization, and historical data regarding a number of actual selections of the advertisement for each of a number of phrases similar to the predetermined phrase. The mean corresponds to an average number of selections of the advertisement within the predetermined time period for the predetermined phrase and having the predetermined advertisement location, as predicted by the model.
Information query