Personalized Review Solicitation System for Community Platforms
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Solution Overview
Problem
Community-based business listing and review systems face challenges in encouraging user participation, particularly in submitting reviews, due to generic and impersonal review requests that fail to resonate with users, resulting in a lack of variety and number of reviews.
Innovation Solution
A method and apparatus for automatically soliciting business reviews by monitoring user searches and submissions, using user-specific usage data to create personalized review solicitations, connecting users within the same community, and timing follow-ups to increase relevance and responsiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If generic review requests are sent to all users, then the system can potentially reach more users, but the user participation rate decreases because requests are perceived as impersonal and annoying
Solution Approach 1:
The patent applies local quality by customizing review requests based on individual user characteristics, community affiliation, and browsing history. Instead of sending identical generic requests to all users, the system tailors each request to be relevant to the specific user's interests and community, thereby increasing engagement while maintaining efficient outreach
Solution Approach 2:
The system performs preliminary actions by monitoring user browsing behavior and identifying users who have viewed business listings before sending review requests. This preliminary monitoring allows the system to time and target requests optimally, sending them to users who are most likely to participate based on their demonstrated interest
2Productivity
If the system monitors user searches and collects usage data, then review solicitations become more personalized and effective, but system complexity increases
Solution Approach 1:
The system applies self-service by automatically monitoring user behavior, collecting usage data, and generating personalized review requests without requiring manual intervention. The system serves itself by using its own collected data to automate the entire review solicitation process, from tracking user interests to sending customized requests and following up on responses
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring user responses to review requests and using this information to refine future solicitations. The system tracks whether users submit reviews, provides reminders to those who haven't responded, and uses this feedback loop to improve the effectiveness of ongoing review collection efforts
Data Source
AI summary
A method and apparatus for automatically soliciting business reviews includes a process for automatically soliciting business reviews whereby searches made, and/or reviews submitted, by individuals using a community based business listing and review system are monitored and user specific usage data is collected including: the user's identification; the business listing category in which a search was conducted and/or the business listing category in which a review was submitted by the user; and the community in which the user resides, and/or the community in which the search was made, and/or the community in which the business reviewed resides. Once user specific usage data about the user, and the searches the user conducts and/or the reviews the user has submitted, is gathered, the user specific usage data is then used to create user specific review solicitations of various types.