Social Recommendation Counter with Geographic Segmentation

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Solution Overview

Problem

Current review systems for businesses lack trustworthiness and conversational value, as they can be manipulated by businesses and lack preservation of recommendations over time, making it difficult for users to make informed decisions.

Innovation Solution

A social networking system that increments recommendation counters for business entities based on implicit and explicit recommendations from connected users within geographic regions, allowing for a conversational dialogue and preserving recommendations for future viewers.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If review systems aggregate ratings from multiple sources, then the quantity of reviews increases, but the trustworthiness of recommendations decreases

Engineering Contradiction:

Improvequantity of reviewsVSAvoidtrustworthiness of recommendations

Core Design Contradiction:

Quantity of substanceVSReliability

Solution Approach 1:

The patent segments reviews by geographic region and social connection type, creating separate recommendation streams for local neighbors versus distant reviewers. This segmentation allows the system to prioritize trustworthy local recommendations while still aggregating broader review data, resolving the contradiction between quantity and trustworthiness.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by emphasizing recommendations from users within the same geographic region or social network as having higher credibility. Local reviewers are weighted more heavily in the aggregation algorithm, ensuring that while many reviews are collected, the most trusted ones drive the overall rating.

Inventive Principle:

Principle #3Local quality

2Ease of operation

If review systems allow free commenting by users, then the conversational aspect is enhanced, but the risk of manipulation increases

Engineering Contradiction:

Improveconversational aspectVSAvoidsusceptibility to manipulation

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The patent implements feedback mechanisms where users can report suspicious reviews and the system provides transparency about review verification status. This feedback loop helps maintain conversational freedom while detecting and mitigating manipulation attempts through community oversight and system monitoring.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent introduces an intermediary verification layer between user comments and the final rating display. The system mediates by filtering, flagging, or weighting comments based on reviewer credibility, geographic proximity, and pattern analysis, allowing free expression while protecting against manipulation.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Ease of operation

If social network conversations are used for recommendations, then the conversational value increases, but the preservation of recommendations for future viewers decreases

Engineering Contradiction:

Improveconversational valueVSAvoidpreservation of recommendations

Core Design Contradiction:

Ease of operationVSLoss of information

Solution Approach 1:

The patent performs preliminary action by systematically archiving and indexing social network recommendation conversations as they occur. Rather than waiting for conversations to be lost in the social feed, the system proactively captures, structures, and stores them in a searchable database, preserving the conversational value for future reference.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent creates copies of social network conversations, storing them in multiple formats and locations. The original social media posts are preserved alongside structured extracts of the recommendation content, enabling both the conversational aspect to be maintained and the information to be easily retrieved by future users.

Inventive Principle:

Principle #26Copying

Data Source

PatentUS10157412B2Generating and displaying recommendation counters based on recommendation dialogue captured through a social network and constrained by geographic regions of the recommenders

Publication Date: 2018.12.18 NEXTDOOR INC

AI summary

A system and method for generating a recommendation counter for a business entity based on social networking interactions is provided. In an embodiment, a social networking server provides an interface for users of social networking accounts to request recommendations for business entities and to reply to the requests with recommendations. When the social networking server computer receives a recommendation for a particular business entity, the social networking server computer determines whether the recommending social networking account has recommended the particular business entity in the past. In response to determining that the social networking account has not recommended the particular business entity in the past, the social networking server computer increments a recommendation counter for the particular business entity.