Collaborative Video Server for Real-Time Product Recommendations
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Solution Overview
Problem
Conventional systems lack the ability to effectively recommend and navigate users to specific data items, such as products, in real-time across different locations using video events and location-based technologies like GPS or BLE.
Innovation Solution
A collaborative video server method that receives data descriptive items from one electronic device during a video event, determines recommendations, and displays location information on another device, allowing users to select and navigate to the recommended items using GPS or BLE.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional systems use basic video calling or product sharing, then users can communicate and share product information, but the system cannot provide automated recommendations or navigation to specific data items
Solution Approach 1:
The patent introduces a collaborative video server as an intermediary between users' electronic devices. The server receives video streams, extracts product information, queries a database for recommendations, and sends back navigation instructions. This mediator handles the complex automated recommendation logic centrally, avoiding the need for each device to independently implement complex recommendation algorithms, thus increasing automation while managing system complexity through centralized processing.
Solution Approach 2:
The system enables self-service by automatically analyzing video content to identify products, retrieving relevant information from databases, and generating recommendations without requiring manual user input. The collaborative video server autonomously processes video streams, extracts data items, determines recommendations based on pre-stored database information, and provides navigation guidance, allowing the system to serve itself in the recommendation generation process.
2Adaptability or versatility
If the system provides detailed product information and navigation, then users can locate and purchase products, but the system requires integration of multiple technologies including video processing, database querying, and location-based services
Solution Approach 1:
The collaborative video server is designed as a universal platform that performs multiple functions: receiving and processing video streams, extracting product information, querying databases for recommendations, providing product details, and generating navigation instructions. By consolidating these diverse functions into a single multi-functional server, the system achieves high adaptability and versatility while managing integration complexity through a unified architecture that handles all operations centrally.
3Speed
If real-time video streaming and processing are implemented, then users can share and analyze product information instantly, but the system consumes significant bandwidth and processing power
Solution Approach 1:
The system extracts only the essential product information from video streams rather than processing and transmitting the entire video data. The collaborative video server identifies and extracts specific data items (product identifiers, names, categories) from the video content, then uses only this extracted information for database queries and recommendation generation. This extraction approach enables real-time processing by minimizing the amount of data that needs to be analyzed and transmitted, significantly reducing bandwidth and processing power consumption while maintaining real-time functionality.
Data Source
AI summary
Embodiments herein provide a computer-implemented method for recommending a recommendation for at least one data item by a collaborative video server. The method includes receiving a data descriptive including at least one data item consumed from a first electronic device when the first electronic device and a second electronic device are in a video event, where the at least one data item is displayed on the second electronic device. Further, the method includes determining a recommendation for the at least one data item and a location information of the recommendation. Further, the method includes causing to display the recommendation corresponding to the at least one data item and the location information on the second electronic device.