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1. (WO2018160247) INCREASING SOCIAL MEDIA PRESENCE USING MACHINE-LEARNING RELEVANCE TECHNIQUES

Pub. No.:    WO/2018/160247    International Application No.:    PCT/US2017/064699
Publication Date: Sat Sep 08 01:59:59 CEST 2018 International Filing Date: Wed Dec 06 00:59:59 CET 2017
IPC: G06Q 10/10
G06Q 30/02
Applicants: TWITTER, INC.
Inventors: CHUNG, Wook Jin
LASHUK, Kiryl
HUFFMAN, Kelly
Title: INCREASING SOCIAL MEDIA PRESENCE USING MACHINE-LEARNING RELEVANCE TECHNIQUES
Abstract:
According to an implementation, a system includes a social media messaging platform configured to exchange messages, over a network, among a plurality of computing devices. The exchange of messages is based on a connection graph stored on the messaging platform. The social media messaging platform includes a registration manager configured to register an account for an entity to boost a social media presence of the entity on the social media messaging platform, and a social media presence booster having a machine-learning relevance engine configured to programmatically match the entity's content with relevant entities. The social media presence booster is configured to automatically and programmatically boost the entity's content to the relevant entities, and increase, over time, a number of connections in the connection graph between the account and other accounts on the social media messaging platform in response to the boosted content.