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Computer-implemented methods and systems for clustering user reviews and ranking clusters

a technology of user reviews and clustering, applied in the analysis of user reviews, can solve problems such as the difficulty of app developers in keeping up with the problems raised by app users

Inactive Publication Date: 2018-08-02
APPLAUSE APP QUALITY
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Benefits of technology

Enables app developers to more efficiently analyze user review data by organizing it into meaningful clusters and ranking them, allowing for better identification and prioritization of issues, thereby improving app quality.

Problems solved by technology

However, many apps get hundreds and even thousands of reviews a day, and it can be difficult for app developers to keep up with the issues raised by app users.

Method used

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  • Computer-implemented methods and systems for clustering user reviews and ranking clusters
  • Computer-implemented methods and systems for clustering user reviews and ranking clusters
  • Computer-implemented methods and systems for clustering user reviews and ranking clusters

Examples

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Embodiment Construction

[0011]Various embodiments disclosed herein are directed to computer-implemented methods and systems for organizing app reviews into clusters and ordering the clusters so that user review data can be more effectively analyzed by app developers to improve their apps.

[0012]The methods and systems for clustering reviews may be used for organizing generally any feedback related corpus that includes text feedback and a scaled rating such as, e.g., a star or numerical rating.

[0013]While the exemplary embodiments disclosed herein refer to user reviews for apps, it should be understood that the clustering techniques described herein can be used for analyzing user reviews involving generally any subject matter.

[0014]FIG. 1 is a simplified flow chart illustrating an exemplary process for organizing app reviews into clusters in accordance with one or more embodiments. The reviews may be obtained from app stores or other sites displaying reviews, e.g., by crawling the site.

[0015]At step 100, a s...

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Abstract

Computer-implemented methods and systems are disclosed for organizing user reviews, especially computer app reviews, into clusters and ranking the clusters so that the reviews may be more meaningfully analyzed.

Description

RELATED APPLICATIONS[0001]This Application is a Continuation of U.S. application Ser. No. 14 / 539,623, filed Nov. 12, 2014, entitled “COMPUTER-IMPLEMENTED METHODS AND SYSTEMS FOR CLUSTERING USER REVIEWS AND RANKING CLUSTERS,” incorporated herein by reference in its entirety.BACKGROUND[0002]The present application relates generally to analysis of user reviews and, more particularly, to computer-implemented methods and systems for organizing such reviews into clusters and ranking the clusters so that the reviews may be more meaningfully analyzed.[0003]An app is a computer program designed to run on a computer device or system, including, without limitation, mobile devices (such as smartphones and tablet computers), desktop computers, wearable computers, connected devices, etc. App stores, from which apps can be downloaded, allow app users to create and publicly share their reviews of apps. This allows users to praise app developers for effective new features, but it also allows users t...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G06F17/27G06F17/30G06Q30/02
CPCG06F17/3071G06Q30/0282G06F17/277G06F16/355G06F40/284
Inventor YOUNG, HEIDI A.STREDWICK, JASON M.MAVIANAKERE, YASHAS
Owner APPLAUSE APP QUALITY
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