Analyzing log streams based on correlations between data structures of defined node types
US-2015370842-A1 · Dec 24, 2015 · US
Context-based automatic selection of factor for use in estimating characteristics of viewers viewing same content
US8930976B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8930976-B2 |
| Application number | US-201113222613-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 31, 2011 |
| Priority date | Sep 21, 2010 |
| Publication date | Jan 6, 2015 |
| Grant date | Jan 6, 2015 |
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Abstract
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A method of selecting a factor for estimating characteristics of viewers who view a same content is disclosed. This method includes: storing a multi-layered hierarchal list of attribute words expressing viewer attributes, each of which is a candidate of the factor; extracting the attribute words from the same content; generating a first vector indicative of frequencies with which the attribute words occur in the same content; for a successively-selected one of the attribute words, successively generating a second vector indicative of frequencies with which the attribute words occur in ones of sets of learned-text information which contain the successively-selected attribute word; calculating a similarity score between the vectors on a per-attribute-word basis; and selecting one of the attribute words as the factor, which is associated with subordinate attribute words on a lower layer, based on a dispersion level of the similarity scores calculated for the subordinate attribute words.
First claim
Opening claim text (preview).
What is claimed is: 1. A method of selecting an optimum factor for use in estimating characteristics of a plurality of viewers who view a same content, the method being implemented by a computer including a processor and a memory, the method comprising: storing in the memory, by the processor, a multi-layered hierarchal factor-list of a plurality of pre-selected factors each of which is a candidate of the optimum factor, the factors being a plurality of attribute words which expre…
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Electricity · mapped topic
Electricity · mapped topic
- G06F17/30038Primary
Physics · mapped topic
- G06F16/48Primary
Physics · mapped topic
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Frequently asked questions
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- What does patent US8930976B2 cover?
- A method of selecting a factor for estimating characteristics of viewers who view a same content is disclosed. This method includes: storing a multi-layered hierarchal list of attribute words expressing viewer attributes, each of which is a candidate of the factor; extracting the attribute words from the same content; generating a first vector indicative of frequencies with which the attribute …
- Who is the assignee on this patent?
- Ikeda Kazushi, Hattori Gen, Matsumoto Kazunori, and 2 more
- What technology area does this patent fall under?
- Primary CPC classification G06F17/30038. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Jan 06 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).