Invention Grant
- Patent Title: System and method for labeling a content item based on a posterior probability distribution
- Patent Title (中): 基于后验概率分布标记内容项的系统和方法
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Application No.: US11642392Application Date: 2006-12-19
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Publication No.: US08744883B2Publication Date: 2014-06-03
- Inventor: H. Scott Roy
- Applicant: H. Scott Roy
- Applicant Address: US CA Sunnyvale
- Assignee: Yahoo! Inc.
- Current Assignee: Yahoo! Inc.
- Current Assignee Address: US CA Sunnyvale
- Agency: Pillsbury Winthrop Shaw Pittman LLP
- Main IPC: G06Q10/00
- IPC: G06Q10/00 ; G06F17/30

Abstract:
The present invention is directed towards systems and methods for the classification or scoring of content items. The method according to one embodiment comprises providing at least one labeled content item as input to an initial classification model, a given labeled item having at least one feature, a given feature being associated with a weight, computing a posterior probability of the initial classification model for the given labeled content item and generating an updated classification model using the initial classification model and the weight associated with the given feature in the given labeled content item. The updated classification model is applied to an unlabeled content item to determine a score for the unlabeled content item.
Public/Granted literature
- US20080147575A1 System and method for classifying a content item Public/Granted day:2008-06-19
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