Dynamic Business Profile Generation via User Query Analysis
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Solution Overview
Problem
Existing business profiles are static and generic, failing to provide relevant information to users with diverse interests and needs.
Innovation Solution
A machine learning model generates curated business profiles based on user-submitted queries and prior activity, incorporating relevant information such as articles, social media posts, products, and services, while allowing users to interact with businesses through a "chat with a business" feature.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a static template is used for business profiles, then the profile structure is simple and easy to maintain, but the profile cannot provide relevant information to users with diverse interests and needs
Solution Approach 1:
The business profile is transformed from a static template into a dynamic, personalized profile that adapts to individual user interests and needs. The system generates unique profiles for each user by selectively including relevant information from multiple sources, making the profile content flexible and adaptable rather than fixed and generic.
Solution Approach 2:
The system performs preliminary actions by collecting and organizing business information from multiple sources (website, social media, advertisements) in advance. This pre-processing of data enables the rapid generation of personalized profiles when users submit queries, without requiring extensive searching at the moment of interaction.
2Loss of information
If generic business profiles are provided to all users, then the system operation is simple and fast, but the information relevance to individual users is low
Solution Approach 1:
Instead of providing the same generic information to all users, the system applies local quality by tailoring the profile content to each user's specific interests and needs. Different users receive different combinations of business information based on their individual contexts, ensuring that each user gets locally optimized relevant information rather than a one-size-fits-all approach.
Solution Approach 2:
The system creates multiple customized copies of the business profile, each tailored to a specific user's interests. Rather than using a single generic profile for all users, the system generates unique profile copies for each user by selecting and organizing information from the same source data, enabling personalized delivery without requiring users to perform extensive searches.
3Loss of information
If users must search extensively to find relevant business information, then comprehensive information is available, but the user time and effort required is excessive
Solution Approach 1:
The system acts as an intermediary between the business information sources and the users. It collects, processes, and organizes information from multiple sources (website, social media, advertisements) and delivers it in a curated, personalized format. This intermediary function eliminates the need for users to manually search through extensive information, as the system pre-processes and delivers only the relevant information directly to each user.
Data Source
AI summary
The technology is generally directed to generating curated profiles for businesses. A curated profile may provide curated information to a user about a respective business. Generating the curated profile may include receiving a user query corresponding to a business and data related to the business and data related to a user associated with the user query, such as a user that submitted the query. A curated profile corresponding to the business may be generated based on the data related to the business and the data related to the user associated with the query.