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Ranking similar passages

Inactive Publication Date: 2009-02-26
GOOGLE LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these types of searches may yield thousands of matching results and the most relevant results may not initially be displayed making it difficult for users to locate the documents or passages most relevant to their queries.

Method used

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  • Ranking similar passages
  • Ranking similar passages
  • Ranking similar passages

Examples

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Embodiment Construction

[0018]The Figures (FIGS.) and the following description describe embodiments by way of illustration only. It should be noted that from the following discussion, alternative embodiments of the structures and methods disclosed herein will be readily recognized as viable alternatives that may be employed without departing from the principles of what is claimed.

[0019]FIG. 1 shows an environment adapted to support ranking similar passages according to one embodiment. The environment 100 includes a data store 110 for storing a corpus 112 and a similar passage database 114, a passage mining engine 116 for identifying similar passages in the corpus, a scoring engine 128 for assigning scores to similar passages, and a ranking engine 130 for ranking similar passages. The environment also includes a client 118 for requesting and / or viewing information from the data store 110, and a web server 120 for interacting with the client and providing interfaces allowing the client to access the informa...

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Abstract

Passages in a digital corpus are scored and ranked based at least in part on characteristics of instances of the passages occurring in the corpus. Such characteristics include the popularity of the author, the characteristics of the words introducing and following the similar passage, frequency of appearance of the passage in the digital corpus, the length of the similar passage, the words of the similar passage, the usage of punctuation with the similar passage, and the diffusion of the similar passage within the digital corpus. The characteristics are scored and weighted to produce ranking scores for the associated passages. The ranking scores are used for purposes including selecting passages to display in association with a document and ranking passages displayed in response to a search.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]This application claims the benefit of U.S. Patent Provisional Application No. 60 / 956,880, filed Aug. 20, 2007, the contents of which are hereby incorporated by reference.[0002]This application is related to U.S. patent application Ser. No. 11 / 781,213, filed Jul. 20, 2007, and titled “Identifying and Linking Similar Passages in a Digital Text Corpus,” the contents of which are hereby incorporated by reference.BACKGROUND[0003]1. Field of Art[0004]This invention pertains, in general, to scoring similar passages in digital text documents and, in particular, to ranking similar passages based on characteristics of the similar passages occurring in the digital text documents.[0005]2. Description of the Related Art[0006]Advancement in digital technology has changed the way people acquire information. For example, people can now view electronic documents that are stored in a predominantly text corpus such as a digital library that is accessible v...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F17/30616G06F16/313G06F16/3344G06F40/211
Inventor SCHILIT, WILLIAM NOAHKOLAK, OKANVINCENT-FOGLESONG, JUSTIN JOHN PAUL
Owner GOOGLE LLC
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