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How Groupon Automatically Categorizes Merchant Services Using Text Analysis

A system that automatically scans merchant websites and uses high-precision search queries to label their services, helping platforms like Groupon organize thousands of business listings.

Granted 2016ActiveExpires 2033Owned by Groupon IncInvented by Nick Pendar

Original patent title: “Method, apparatus, and computer program product for classification and tagging of textual data

Plain-English explanation by SahiLast reviewed · June 15, 2026

A system that automatically scans merchant websites and uses high-precision search queries to label their services, helping platforms like Groupon organize thousands of business listings. Granted to Groupon Inc in 2016 with 18 claims and 25 forward citations.

Key facts

Patent numberUS 9330167
StatusActive
FieldSoftware & Internet
AssigneeGroupon Inc
InventorNick Pendar
Filed2013
Granted2016
Claims18
Times cited25
LitigationNone on record
Value · $131K$419KModest

Coverage

What does this patent actually cover?

This patent describes a way to teach a computer how to read a merchant's website and figure out what service they offer, such as 'spa' or 'auto repair.' It works by first looking at a large collection of known documents to build search queries that are highly accurate, measured by a precision score. The system calculates this score by dividing the number of 'true positive' results by the total number of results found. Once these high-quality queries are refined, the system applies them to new, unlabeled text from a merchant's site to automatically assign the correct category label.

The gap

What does this patent NOT cover?

  • Does not cover general-purpose search engines that do not use a specific precision-threshold-based query selection process.
  • Does not cover manual tagging or human-in-the-loop classification systems.
  • Does not cover machine learning models that classify text without using the specific feature-index-pair and distance-measure query generation method described.
  • Does not cover image-based merchant classification.

These exclusions are unique to PatentBrief — derived from the actual claim language, not patent-office boilerplate.

What made this novel

The system generates queries based on 'feature index pairs'—tracking not just the words, but their specific positions in a sentence—and then filters those queries by a precision threshold to ensure only the most reliable indicators are used for classification.

Method, apparatus, and compute…(Primary claim)softwareai mlecommerce

Schematic visualization of the patent's claim structure. Hand-drawn diagrams in progress for each landmark patent.

Where you've seen this

Real-world examples

01

Automated categorization of local business listings on Groupon

02

Internal merchant classification tools for daily deal platforms

03

Automated tagging of unstructured web content for recommendation engines

Why it matters

The bigger picture

For companies like Groupon that aggregate thousands of local deals, manually categorizing every merchant is impossible. This technology allowed them to scale their marketplace by automating the classification of unstructured text found on merchant websites, ensuring that a user searching for 'massage' actually finds relevant spa deals.

Filed

May 13, 2013

Granted

May 3, 2016

Market context

Who's building on this

Companies in this space

Groupon continues to utilize automated merchant classification to manage its vast inventory of local deals. Similar techniques are used by major search engines and local discovery platforms to map the unstructured web into structured business directories.

Market impact

This patent helped standardize the automated ingestion of merchant data for the daily deal industry. By reducing the reliance on manual data entry, it enabled platforms to expand into new geographic markets and service categories much faster than competitors relying on human editors.

Claim 1 — Plain English

What this patent covers

This patent describes a way to teach a computer how to read a merchant's website and figure out what service they offer, such as 'spa' or 'auto repair.' It works by first looking at a large collection of known documents to build search queries that are highly accurate, measured by a precision score. The system calculates this score by dividing the number of 'true positive' results by the total number of results found. Once these high-quality queries are refined, the system applies them to new, unlabeled text from a merchant's site to automatically assign the correct category label.

The clever bit

The system generates queries based on 'feature index pairs'—tracking not just the words, but their specific positions in a sentence—and then filters those queries by a precision threshold to ensure only the most reliable indicators are used for classification.

What it does not cover

  • Does not cover general-purpose search engines that do not use a specific precision-threshold-based query selection process.
  • Does not cover manual tagging or human-in-the-loop classification systems.
  • Does not cover machine learning models that classify text without using the specific feature-index-pair and distance-measure query generation method described.
  • Does not cover image-based merchant classification.

Patent timeline

Filing

Application submitted to the patent office

Publication

Application published, typically 18 months after filing

Grant

Patent officially issued

PatentBrief Score

Impact Score

Moderate

Citation count

28/40

Moderately cited

Claim breadth

12/20

Broad claimsclaimsThe numbered statements at the end of a patent that legally define what the inventor owns.Read more →

Recency

5/20

Granted 10–20 years ago

Assignee scale

0/20

Independent or smaller assigneeassigneeThe entity that owns the patent — usually the inventor's employer or a company.Read more →

PatentBrief Impact Score — based on citation count, claim breadth, recency, and assignee scale. Not a legal assessment.

Heuristic Value Estimate

What this patent might be worth

Modest

$131K$419K

Midpoint $262K · 6.9 yr remaining · industry ×1.6

Adjust inputs →

Heuristic only — blends forward/backward citation counts, claim scope, time remaining, litigation history, and CPC-derived industry baseline. Real valuations need a professional appraisal.

The original legal language

Original claims

18 claims as filed with the patent office.

Concepts involved

ClaimPrior artNon-obviousnessNoveltySpecificationAssigneePatent term

Citations

Patent lineage

Cites earlier patents

10

earlier patents this invention cites as foundations

View prior art →

Cited by later patents

25

later patents that build on this invention

View patents →

Cite this patent

Pendar, N. (2016). How Groupon Automatically Categorizes Merchant Services Using Text Analysis (U.S. Patent No. 9,330,167). U.S. Patent and Trademark Office. https://patentbrief.org/patent/us/9330167/amazon-rds

Auto-generated from the patent record. Double-check author order and the issue date against the official USPTO document before submitting.

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Common Questions

Frequently Asked Questions

What does How Groupon Automatically Categorizes Merchant Services Using Text Analysis cover?

A system that automatically scans merchant websites and uses high-precision search queries to label their services, helping platforms like Groupon organize thousands of business listings.

Who owns patent US 9330167?

Groupon Inc owns this patent, granted in 2016.

When does this patent expire?

This patent is expected to expire on May 3, 2036, when the invention enters the public domain.

What is patent US 9330167 cited by?

This patent has been cited by 25 later patents that build on its ideas.

What problem does this patent solve?

For companies like Groupon that aggregate thousands of local deals, manually categorizing every merchant is impossible. This technology allowed them to scale their marketplace by automating the classification of unstructured text found on merchant websites, ensuring that a user searching for 'massage' actually finds relevant spa deals.

What does this patent NOT cover?

Does not cover general-purpose search engines that do not use a specific precision-threshold-based query selection process.

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Last reviewed: June 15, 2026 · PatentBrief is not a law firm and this is not legal advice.