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Modeling actions, consequences and goal achievement from social media and other digital traces

A social media and model technology, applied in marketing, data processing applications, special data processing applications, etc., can solve problems such as limited users and narrowing the scope of data

Active Publication Date: 2017-08-01
MICROSOFT TECH LICENSING LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, users are generally limited to parsing social media data based on keywords of interest with simple search queries that narrow the range of data available for commenting

Method used

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  • Modeling actions, consequences and goal achievement from social media and other digital traces
  • Modeling actions, consequences and goal achievement from social media and other digital traces
  • Modeling actions, consequences and goal achievement from social media and other digital traces

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Embodiment Construction

[0009] The technical solution of the present invention is described in conjunction with the specificity herein to meet statutory requirements. However, the description itself is not intended to limit the scope of this patent. Rather, the inventors have conceived that in combination with other current or future technologies, the claimed technical solution can also be implemented in other ways, to include steps different from those described in this document or a similar combination of steps. Furthermore, while the terms "step" and / or "block" may be used herein to refer to various elements of a method employed, such terms should not be interpreted as implying any intervening steps among or between the various steps disclosed herein. A specific order unless an order of individual steps is explicitly described.

[0010] To assist individuals in their decision making, several techniques have been developed that provide empirical data to curious individuals based on user opinions a...

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Abstract

Systems, methods, and computer storage media are provided for analyzing a large amount of social media data from a large population of social media users and constructing correlational data models between one or more events that occur within each user's timeline. Social media posts directed to personal experiences of a large number of social media users are extracted. Event timelines are generated for each of the social media users, based on their personal experiences. The event timelines are analyzed with a particular event of interest to measure correlations between events occurring within the timelines and the particular event of interest. Using the measured correlations, a correlational data model is thereby constructed. The correlational data model may be used for application to decision-making calculations by one or more systems in an active or passive manner.

Description

Background technique [0001] Technology-assisted decision-making is becoming more and more common in modern social life. Users rely on technology to research product and / or service reviews on demand by utilizing data from sources such as social media, blogs, mobile applications, and the like. These existing technologies can provide users with very specific empirical data for more informed decision-making. However, many of these techniques are limited to providing information to users when they know exactly what they are looking for. In particular, social media serves as a huge resource of publicly available data whereby users share their personal experiences via social media posts. Data collected from social media can cover a wide range of personal experiences related to a particular event, action, goal, product, service or other topic of interest. However, users are generally limited to parsing social media data based on keywords of interest with simple search queries that ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q50/00
CPCG06Q30/02G06Q30/0255G06Q50/01G06F16/254G06F16/212G06F16/2477
Inventor E·M·基希曼P·N·本内特J·B·蒂万S·T·达麦斯
Owner MICROSOFT TECH LICENSING LLC
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