Multi-dimensional Reputation Search for Electronic Marketplaces

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Solution Overview

Problem

In electronic marketplaces, users face challenges in forming trusting relationships due to anonymity, which is addressed by feedback ratings, but these ratings lack granularity, making it difficult for buyers and sellers to assess reputation effectively.

Innovation Solution

A system that allows users to search for objects using reputation dimensions and attributes, such as feedback scores and comments, to filter and sort results, providing a more nuanced assessment of potential trading partners.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If feedback ratings are used to indicate user trustworthiness, then user reputation can be assessed, but the ratings lack granularity making it difficult to assess reputation effectively

Engineering Contradiction:
Improvereputation assessment precisionVSAvoidreputation information detail
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The patent segments the single feedback rating into multiple reputation dimensions (e.g., communication, shipping, item description, packaging). Each dimension is evaluated separately with its own feedback scores, providing granular assessment of different aspects of user behavior rather than a single aggregated rating.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent transitions from a one-dimensional feedback rating to a multi-dimensional reputation assessment system. By adding multiple dimensions (communication quality, shipping timeliness, item accuracy, packaging quality), the system creates a more comprehensive and precise reputation profile that captures nuanced user behavior patterns.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Loss of information

If multiple reputation dimensions are added to improve assessment granularity, then reputation information detail increases, but system complexity increases

Engineering Contradiction:
Improvereputation information detailVSAvoidsystem complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent creates a universal reputation assessment framework that can evaluate multiple dimensions using a consistent methodology. The same feedback collection and scoring mechanism is applied across all reputation dimensions, allowing the system to handle complexity through standardized processes rather than requiring separate systems for each dimension.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

By organizing reputation information into structured dimensions, the patent transforms complex unstructured feedback data into a manageable multi-dimensional format. This dimensional organization makes the complexity tractable through systematic analysis and presentation of each dimension's metrics.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Data Source

PatentUS10133772B2Multi-dimensional query statement modification
Publication Date: 2018.11.20 EBAY INC
  • US10133772B2 patent drawing
  • US10133772B2 patent drawing
  • US10133772B2 patent drawing

AI summary

Systems and methods for multi-dimensional query statement modification are described. A system presents a user interface including a first plurality of graphical elements representing a plurality of activity dimensions to a user. The system detects a user selection of a first activity dimension and a second user selection of a first attribute of the first activity dimension without a selection of the second attribute. The system searches objects using a search query based on the first activity dimension and the first attribute to return search results including a first object published on a network-based publication system by a client. The system provides a notification message to the user responsive to identifying feedback information that is received from a trading partner of the client as transgressing a first threshold. The feedback information is identified based on the first object and the second attribute that is not selected from the user interface.