Invention Grant
US08095487B2 System and method for biasing search results based on topic familiarity
有权
基于主题熟悉度偏好搜索结果的系统和方法
- Patent Title: System and method for biasing search results based on topic familiarity
- Patent Title (中): 基于主题熟悉度偏好搜索结果的系统和方法
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Application No.: US11378871Application Date: 2006-03-16
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Publication No.: US08095487B2Publication Date: 2012-01-10
- Inventor: Rosie Jones , Giridhar Kumaran , Omid Madani
- Applicant: Rosie Jones , Giridhar Kumaran , Omid Madani
- Applicant Address: US CA Sunnyvale
- Assignee: Yahoo! Inc.
- Current Assignee: Yahoo! Inc.
- Current Assignee Address: US CA Sunnyvale
- Agency: Ostrow Kaufman LLP
- Agent Seth H. Ostrow
- Main IPC: G06E1/00
- IPC: G06E1/00 ; G06E3/00

Abstract:
A familiarity level classifier comprises a stopwords engine for conducting a stopwords analysis of stopwords, e.g., introductory level stopwords and advanced level stopwords, in a document, e.g., a website; and a familiarity level classifier module for generating a document familiarity level based on the stopwords analysis. The classifier may be in an indexing module, a search engine, a user computer, or elsewhere in a computer network. The classifier may also include a reading level engine for conducting a reading level analysis of the document, and wherein the familiarity level classifier module is configured to generate the familiarity level also based on the reading level analysis. The classifier may also include a document features engine for conducting a feature analysis of the document, and wherein the familiarity level classifier module is configured to generate the document familiarity level also based on the feature analysis.
Public/Granted literature
- US20060212423A1 System and method for biasing search results based on topic familiarity Public/Granted day:2006-09-21
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