Automated Product Recommendation Cards from Communication Content
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Solution Overview
Problem
Existing methods for delivering product recommendations in communication content are often ineffective as they are tagged on or presented subordinate to the main message, failing to capture users' attention effectively.
Innovation Solution
A system and method for automatically generating product recommendations by analyzing communication content, identifying relevant product information, and distributing targeted recommendations using a product recommendation generator and a recommendation card distribution engine, leveraging machine learning for user interest modeling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If product recommendations are tagged on or presented as subordinate information in communication content, then the integration with main message is maintained, but user attention and engagement are reduced
Solution Approach 1:
The patent segments the communication content into distinct modules: the main message communication and the product recommendation card. This segmentation allows the recommendation to be visually and structurally separated from the main content, enabling it to stand out as an attention-grabbing element while maintaining its association with the original communication through the card format that can be displayed alongside or attached to the main message.
Solution Approach 2:
The patent introduces a new dimensional format for recommendations by using visual recommendation cards that can be displayed in alternative layouts (side-by-side, pop-up, overlay) rather than simply appending text at the end of emails or messages. This dimensional change transforms the recommendation from subordinate text to a prominent visual element that captures user attention while maintaining integration with the communication context.
2Ease of operation
If product recommendations are presented in subordinate form in communication content, then the communication flow is maintained, but the effectiveness of recommendation delivery is reduced
Solution Approach 1:
The patent introduces the recommendation card as an intermediary element between the main communication message and the product information. This card serves as a mediator that captures user attention with its prominent design while maintaining the flow of the original communication. The card can be displayed through various mechanisms (side panel, pop-up, overlay) that preserve the primary communication flow while effectively delivering recommendation information.
Solution Approach 2:
The system performs preliminary analysis of communication content to identify product information before generating the recommendation card. This preliminary extraction and processing of product data from emails, messages, or other communications enables the system to create targeted recommendation cards that are ready for immediate display, ensuring both communication flow is maintained and recommendation effectiveness is maximized through pre-prepared, context-relevant content.
Data Source
AI summary
The present teaching relates to method, system, medium, and implementations for product recommendation. When communication content is received from a service provider operating on a platform, information related to a product is identified from a webpage accessed based on a link included in the communication content. Based on the information related to the product, a recommendation of the product is generated and sent to some service providers on different platforms for distribution of the recommendation to intended targets.