# How Software Detects What You Want Based on Your Social Media Posts

> A system that reads your social media posts to figure out your intent, then automatically serves ads or updates your profile based on how likely you are to actually buy or do something.

- **Patent:** US 8521818
- **Original title:** Methods and apparatus for recognizing and acting upon user intentions expressed in on-line conversations and similar environments
- **Owner:** Solariat Inc
- **Granted:** 2013
- **Status:** Active
- **Times cited:** 34
- **Field:** software, ai_ml, ecommerce, telecommunications

## What it does

This patent describes a system that monitors social media posts to identify what a user is trying to accomplish. It breaks text into segments, identifies the 'intention type' (like a complaint or a request), and extracts 'intention topics' using linguistic analysis like n-grams and part-of-speech tagging. The system then scores these intentions based on how 'actionable' they are—meaning how likely the user is to respond to a specific intervention. Finally, it automatically triggers actions, such as showing a targeted advertisement (a 'creative') or updating the user's marketing profile.

## What it does NOT cover

- Does not cover human-to-human manual moderation or customer support responses.
- Does not cover general sentiment analysis that only labels text as positive or negative without identifying a specific actionable intent.
- Does not cover systems that rely solely on metadata like location or time without analyzing the actual textual content of the post.

## The clever bit

The system doesn't just identify what you are talking about; it calculates an 'actionability score' to decide if it is even worth the effort to show you an ad, preventing wasted marketing spend on low-intent interactions.

## Real-world examples

1. Targeted ads appearing after a user asks for product recommendations on Twitter.
2. Automated customer service bots that detect a complaint and escalate it to a human agent.
3. CRM systems that automatically update lead profiles based on social media activity.

## Why it matters

This technology is the backbone of modern 'intent-based marketing.' By moving beyond simple keyword matching to understanding the goal behind a user's post, companies can deliver ads that feel more relevant. It represents the shift from passive advertising to proactive, automated engagement in the social media era.

## Frequently asked questions

### What does How Software Detects What You Want Based on Your Social Media Posts cover?

A system that reads your social media posts to figure out your intent, then automatically serves ads or updates your profile based on how likely you are to actually buy or do something.

### Who owns patent US 8521818?

Solariat Inc owns this patent, granted in 2013.

### When does this patent expire?

This patent is expected to expire on August 27, 2033, when the invention enters the public domain.

### What is patent US 8521818 cited by?

This patent has been cited by 34 later patents that build on its ideas.

### What problem does this patent solve?

This technology is the backbone of modern 'intent-based marketing.' By moving beyond simple keyword matching to understanding the goal behind a user's post, companies can deliver ads that feel more relevant. It represents the shift from passive advertising to proactive, automated engagement in the social media era.

### What does this patent NOT cover?

Does not cover human-to-human manual moderation or customer support responses.

**Full plain-English explainer:** https://patentbrief.org/patent/us/8521818/facebook-share-button

**Original patent:** https://patents.google.com/patent/US8521818

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