Search Ranking Data Access API for E-commerce Listing Optimization

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Solution Overview

Problem

E-commerce sellers lack access to the underlying data used by search engines to rank and order search results, making it difficult for them to optimize their item listings for better visibility and sales.

Innovation Solution

An application programming interface (API) is provided that gives sellers access to the data used by the search engine's ranking algorithm, allowing them to analyze and modify their item listings to improve their ranking scores, which are based on attribute data and performance metrics such as click-through rates and sales history.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If search engines use complex algorithms and multiple data types to rank search results, then the quality and relevance of search results improve, but sellers cannot access the underlying data to optimize their listings

Engineering Contradiction:
Improvesearch result qualityVSAvoidranking data accessibility
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The patent introduces an intermediary component (search engine data access interface) that mediates between the search engine's ranking algorithm and sellers. This interface provides controlled access to ranking data and performance metrics without exposing the underlying complex algorithms, allowing sellers to optimize listings while maintaining search engine functionality.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If sellers manipulate item listings to increase visibility, then sales opportunities improve, but access to ranking data is required which is currently unavailable

Engineering Contradiction:
Improvesales conversion rateVSAvoidranking algorithm transparency
Core Design Contradiction:
ProductivityVSLoss of information

Solution Approach 1:

The patent implements a feedback mechanism where sellers receive performance metrics and ranking data about their listings. This feedback loop enables sellers to understand how their listings are ranked and make informed adjustments to improve visibility and sales conversion without needing direct access to the proprietary ranking algorithm.

Inventive Principle:
Principle #23Feedback

3Reliability

If the search engine maintains proprietary ranking algorithms, then competitive advantage is preserved, but seller optimization capability is reduced

Engineering Contradiction:
Improvesearch engine competitive advantageVSAvoidseller listing optimization
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The patent segments the search engine system into distinct functional components: the proprietary ranking algorithm module that maintains competitive advantage, and a data access interface module that provides sellers with necessary performance metrics and ranking information for optimization. This segmentation allows both goals to coexist.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS11315155B2Method and system for exposing data used in ranking search results
Publication Date: 2022.04.26 EBAY INC
  • US11315155B2 patent drawing
  • US11315155B2 patent drawing
  • US11315155B2 patent drawing

AI summary

Methods and systems enable access to listing performance data associated with a search engine. A request for listing performance data for an item is received from a client computing system. The request is associated with a keyword and/or a category. The request is processed to retrieve the listing performance data corresponding to the item, and a value is determined that indicates a strength of the item in a search results listing having a plurality of search results based on a search using the keyword and/or the category. The listing performance data and value are provided for presentation.