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Method and apparatus for relating datasets by using semantic vectors and keyword analyses

A data set and keyword technology, applied in the direction of electronic digital data processing, digital data information retrieval, digital data processing components, etc., can solve problems such as unsatisfactory search engines or advertising layout systems, lack of documents or web pages, etc.

Inactive Publication Date: 2010-08-11
TEXTWISE
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0003] However, even after many years of development and modification, existing search engines or ad placement systems are still far from satisfactory
Search results or identified advertisements frequently lack sufficient relevance to the search question entered by the user or to the documents or webpages the user is or has viewed

Method used

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  • Method and apparatus for relating datasets by using semantic vectors and keyword analyses
  • Method and apparatus for relating datasets by using semantic vectors and keyword analyses
  • Method and apparatus for relating datasets by using semantic vectors and keyword analyses

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Embodiment Construction

[0024] In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the inventive concepts may be practiced or performed without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form in order to avoid obscuring the present invention.

[0025] As applied in the description herein, the term "dataset" refers to a collection of human and / or machine readable and / or intelligible representations, while the term "keyword" refers to one or more elements such as Textual or symbolic elements, numbers, etc. in a data set. For example, if the data set is a document, a keyword may be one or more words, phrases, punctuation marks, symbols, and / or sentences contained in the document. A dataset can be a collection of various different types of datasets, or a part of a...

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Abstract

This disclosure describes system and method for identifying one or more datasets, such as advertisements, that are contextually related to a subject dataset, such as a web page being reviewed by a user, based on analyses of unique semantic vectors, such as trainable semantic vectors (TSV), that represent the web page and the advertisements, and semantic representations including information of representative keywords of the advertisements and the web page.

Description

technical field [0001] The present invention relates to methods and systems for identifying contextually associated data sets, such as documents, web pages, emails, search queries, advertisements, etc., and more particularly to Methods and systems for identifying datasets that are contextually associated with a subject dataset by keyword semantic representation of information about representative keywords in a dataset. Background technique [0002] Search engines or ad placement systems such as those developed by Microsoft Corporation, Google Corporation, Vibrant Media, or Yahoo! are widely used to identify documents or files potentially relevant to user-entered search questions, or to select and displaying advertisements that are contextually linked to one or more data sets, such as documents, email messages, RSS feeds, or web pages, that the user has viewed or manipulated. [0003] However, even after many years of development and modification, existing search engines or ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F7/00
CPCG06F17/30675G06F16/334
Inventor 文圆克里特普瑞特斯·马杰拉德弗朗斯·荷利三世安德鲁劳伦斯·法瑞斯咖贝尔·斯汀伯格
Owner TEXTWISE
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