RingCentral‘s patented system uses machine learning algorithms, including neural networks, to determine content sources and topics for chat groups. The technology identifies keywords, associates them with subjects, and posts relevant content in real-time. This innovative method enhances user engagement and communication efficiency in chat applications. GlobalData’s report on RingCentral gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on RingCentral, Intelligent contact centers was a key innovation area identified from patents. RingCentral's grant share as of January 2024 was 81%. Grant share is based on the ratio of number of grants to total number of patents.
Determining source and topic of content for chat groups
A recently granted patent (Publication Number: US11881960B2) discloses a computer-implemented method involving training a processor using a neural network machine learning algorithm to analyze audio, video, or audio/video media. The processor identifies keywords in the media based on frequency, associates them with subjects, and determines if a keyword frequency threshold is exceeded to identify the media's topic. Subsequently, an application allowing message posting is determined based on the topic, and a portion of the media is posted as a new message at regular intervals.
Furthermore, the patent details additional operations for video and audio media, such as identifying the source of sound using a video camera and microphone, recognizing faces through image comparison, and identifying speakers by comparing voices to a database. It also includes features like posting live stream links, identifying subjects based on titles, and determining keyword relevance through a coefficient based on user feedback. The method aims to streamline content sharing by automatically posting relevant media segments in various applications based on topic analysis and user feedback, enhancing user engagement and interaction within the platform.
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