# How Search Engines Rank Images Using User Ratings

> A system that improves image search results by combining how well an image matches a search term with how highly users have rated that image elsewhere.

- **Patent:** US 7836050
- **Original title:** Ranking content based on relevance and quality
- **Owner:** Microsoft Corp
- **Granted:** 2010
- **Status:** Public domain (expired)
- **Times cited:** 46
- **Field:** software, ai_ml, ecommerce

## What it does

This system improves search results by calculating a final score for images based on two distinct factors. First, it measures relevance by comparing search keywords to metadata associated with the image. Second, it calculates a quality score based on user ratings from various image forums, which is determined before any search query occurs. The system normalizes these ratings across different forums to ensure a five-star rating on one site is comparable to a ten-point scale on another. Finally, it combines these two scores to re-rank the search results, ensuring high-quality images appear higher than low-quality ones even if their relevance to the search term is identical.

## What it does NOT cover

- Does not cover ranking systems that rely solely on keyword matching without incorporating external user ratings.
- Does not cover real-time ranking adjustments based on user clicks or behavioral data collected during the search session.
- Does not cover ranking methods that fail to normalize ratings across different platforms.
- Does not cover systems that lack a pre-calculated quality score independent of the specific search query.

## The clever bit

The system treats the 'quality' of an image as a static, pre-calculated property that is independent of the search query, allowing the engine to mathematically merge objective quality with subjective relevance.

## Real-world examples

1. Google Image Search results
2. Bing Image Search
3. Pinterest search ranking
4. Stock photo site search algorithms

## Why it matters

This patent addresses the fundamental problem of search engine 'spam' and low-quality results. By shifting the focus from simple text matching to incorporating community-driven quality metrics, it helped search engines provide more useful results. It reflects the transition of the web from a static collection of pages to a social, community-rated ecosystem.

## Frequently asked questions

### What does How Search Engines Rank Images Using User Ratings cover?

A system that improves image search results by combining how well an image matches a search term with how highly users have rated that image elsewhere.

### Who owns patent US 7836050?

Microsoft Corp owns this patent, granted in 2010.

### When does this patent expire?

This patent is expected to expire on November 16, 2030, when the invention enters the public domain.

### What is patent US 7836050 cited by?

This patent has been cited by 46 later patents that build on its ideas.

### What problem does this patent solve?

This patent addresses the fundamental problem of search engine 'spam' and low-quality results. By shifting the focus from simple text matching to incorporating community-driven quality metrics, it helped search engines provide more useful results. It reflects the transition of the web from a static collection of pages to a social, community-rated ecosystem.

### What does this patent NOT cover?

Does not cover ranking systems that rely solely on keyword matching without incorporating external user ratings.

**Full plain-English explainer:** https://patentbrief.org/patent/us/7836050/bing-search-ranking

**Original patent:** https://patents.google.com/patent/US7836050

---

_Source: PatentBrief — https://patentbrief.org. Patent facts are from public records; the plain-English explanation is PatentBrief's._