Live Stream Chat Topic Detection for Contextual Content Prompts
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current live streaming engagement techniques struggle with keeping up with fast-paced chat messages, missing important audience interactions, and burying chat messages, leading to lost engagement opportunities.
Innovation Solution
A system analyzes chat messages to determine their relevance and importance, generating prompts for presenters to incorporate contextually relevant supplemental content, such as products or services, in real-time to enhance audience engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If presenters manually monitor and respond to chat messages in real-time, then audience engagement can be maintained through direct interaction, but the presenter cannot keep up with the fast pace of hundreds of chat messages being posted within seconds
Solution Approach 1:
The patent introduces an automated system as an intermediary between chat messages and the presenter. This system monitors chat messages, identifies engagement opportunities, and generates supplemental content suggestions, allowing the presenter to respond to meaningful interactions without being overwhelmed by the volume of messages. The intermediary filters and prioritizes information, making the presenter's job more manageable while maintaining engagement quality.
Solution Approach 2:
The patent replaces the manual mechanical process of reading and responding to each chat message with an automated computational system. The system uses algorithms to analyze chat content, detect engagement opportunities, and generate supplemental content recommendations, substituting human manual processing with automated digital processing that can handle high-volume messages in real-time.
2Loss of information
If the chat feed scrolls automatically to keep up with the pace of messages, then the chat window remains updated, but important chat messages get buried or scroll outside the visible chat space
Solution Approach 1:
The patent implements a feedback mechanism where the automated system continuously monitors the chat feed, identifies messages that contain engagement opportunities, and provides feedback to the presenter through supplemental content suggestions. This feedback loop ensures that important messages are not lost in the scrolling chat feed but are instead highlighted and brought to the presenter's attention when relevant.
Solution Approach 2:
The patent extracts important chat messages from the overwhelming stream of hundreds of messages by using automated analysis to identify and pull out engagement opportunities. Instead of requiring the presenter to scan through all messages, the system extracts and surfaces only the messages that warrant presenter attention and response.
3Productivity
If presenters use static ad banners or per-click advertising to engage audiences, then advertising revenue can be generated, but these techniques do not sufficiently enhance real-time audience engagement
Solution Approach 1:
The patent transforms static advertising into a dynamic engagement system. Instead of fixed ad banners, the system generates supplemental content suggestions in real-time based on actual chat message content and audience interactions. This dynamic approach allows advertising and engagement content to adapt and change based on the live conversation flow, making engagement more responsive and effective.
Solution Approach 2:
The patent changes the parameters of engagement by moving from predetermined static ad content to dynamically generated supplemental content. The system analyzes chat message parameters (content, sentiment, engagement level) and adjusts the supplemental content suggestions accordingly, creating a flexible engagement strategy that adapts to real-time audience behavior rather than following a fixed advertising schedule.
Data Source
AI summary
Systems and methods are described for monitoring chat activity in a live streaming session and automatically presenting prompts that include information of a supplemental content item that is related to the topic of the chat for presentation during the streaming session. The system receives and analyzes a chat message to determine its topic(s). A determination is made whether the topic is prominent and if a supplemental content item that is supported by the presenter relates to the topic of the chat. Upon a positive determination, a prompt is dynamically populated and displayed to the presenter. The presenter may verbally present the content of the prompt, or the supplemental content item may be displayed in other formats, during the streaming session. Presentation metrics and user engagement metrics may be obtained and provided to the supplemental content item provider.