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Expert detection in social networks

A social network, expert technology, applied in the field of expert detection in social networks, can solve problems such as large scale, and achieve the effect of high accuracy and high recall rate

Active Publication Date: 2018-10-23
MICROSOFT TECH LICENSING LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The corpus is homogeneous (all messages have the same format), but the size is huge

Method used

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  • Expert detection in social networks
  • Expert detection in social networks
  • Expert detection in social networks

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Embodiment Construction

[0014] Describe the subject matter of the technology described herein with specificity to satisfy statutory requirements. However, the description itself is not intended to limit the scope of this patent. Rather, the inventors have contemplated that the claimed subject matter could also be embodied in other ways, to include different steps or combinations of steps similar to those described in this document, in conjunction with other present or future technologies. Additionally, although the terms "step" and / or "block" may be used herein to refer to various elements of a method employed, these terms should not be construed to imply any particular order among or between the various steps disclosed herein. , unless the order of the individual steps is explicitly described.

[0015] Given a topic expressed as a set of keywords, the techniques described herein allow expert detection within a social media network (eg, Weibo) by retrieving experts from the Weibo. As used herein, m...

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Abstract

Aspects of the technology described herein detect experts in social networks. Experts may be identified within social networks using social network data. A collection of topics may be compiled based on search engine behavioral data. A combination of the social network data and search engine behavioral data is utilized to score each topic within potential topics for a user. When a topic score is over a predetermined threshold, a user may be classified as an expert for that topic. Expert search interfaces may be generated for use in browsing or searching for experts within a topic.

Description

Background technique [0001] People want to identify experts on a topic for a variety of reasons. In today's digital world of vast amounts of information available at the click of a button, expert help is needed to navigate these digital spaces. In addition to the vast amount of information to be consulted, the required knowledge is sometimes not freely available (or accessible), it may be lost in a sea of ​​information, or mixed with other relevant and potentially unreliable information (for example, many people talk about knee surgery but neither is trustworthy). Therefore, it is crucial to correctly identify people with relevant expertise. [0002] Traditionally, expertise detection has focused on finding experts from corporate documents in order to enable smooth collaboration among employees. The corpus is small and heterogeneous, and the queries are very specific. With social media, the context is different: the topic of interest can be limited (e.g. the 49ers draft) o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q50/00
CPCG06Q10/06398G06Q50/01G06F16/958G06Q10/06G06F16/9535G06F16/24578
Inventor O·阿隆索M·亨切尔V·坎迪拉斯T·塞勒姆
Owner MICROSOFT TECH LICENSING LLC