US 11257115

Here is a concise summary of US patent 11257115:

• Title: Providing additional digital content or advertising based on analysis of specific interest in the digital content being viewed
• Assignee: Stratacor LLC
• Inventor: Gil Emanuel Fuchs
• Filing Date: September 2, 2015
• Issue Date: February 22, 2022
• Abstract: Systems and methods for providing additional relevant content to a viewer of digital media, such as a webpage, are described. The viewed webpage is divided into regions, and statistics on pertinent words and phrases are compiled for each region. These statistically significant words and phrases are then semantically compared with similar words and phrases in available additional content. If there's a significant match between the viewed content and the additional content, the relevant additional content is then provided to the user.

Legal Status and Litigation:
The patent is currently Active and is set to expire on October 31, 2037. The patent family has litigation, specifically a US case filed in the Texas Eastern District Court, case number 2:26-cv-00013. This was the first worldwide family litigation filed.

Plain-Language Overview of Independent Claims:

• Claim 1 (Method Claim): This claim describes a method to deliver relevant internet content to a user. It involves:

  1. Dividing pages: A processing unit divides the internet pages being viewed into distinct areas (regions) based on the type of content they hold (e.g., header, body).
  2. Monitoring viewing: Input devices (like a mouse) track how often and for how long the user views each region. Periods where the pointing device is idle for too long are ignored.
  3. Compiling text: The processing unit gathers all textual information within each region.
  4. Filtering and listing words: For each region, unimportant words/phrases are removed, and a list of the most frequently used words and phrases is created.
  5. Semantic comparison: If a user views a region frequently and for a sufficient duration, the frequently used words/phrases from that region are semantically compared with words/phrases from potential additional internet content.
  6. Providing content: If there's a strong semantic similarity (above a certain threshold), the relevant additional content or a link to it is displayed to the user. This can appear in a specific or less-used part of the current page, on a new page, or as a pop-up.

• Claim 13 (System Claim): This claim outlines a computer-based system designed to provide relevant internet content. It includes:

  1. Memory/Storage: A component to store internet content, semantic relationships between words/phrases, and counts of semantically related word groups within each page.
  2. Display Device: A screen to show internet content.
  3. Input Device: A tool (like a pointing device) to track which region of the displayed content a user is looking at and for how long. It specifically ignores periods when the pointing device is motionless beyond a set time.
  4. Processing Unit: Connected to the memory/storage, input, and display, this unit is configured to:
     • Divide displayed internet pages into regions based on content form.
     • Count words and phrases in each semantic group within each region, matching them to stored semantic groups.
     • For regions viewed above a certain frequency and duration, compare the most viewed semantic groups with the highest count semantic groups in the stored content.
     • Select and provide relevant internet content (or a link to it) on the display screen in a specified, less-used, new page, or pop-up area if semantic similarity is found.

• Claim 16 (Method Claim): This claim is a more specific method building upon Claim 1, with additional details:

  1. Dividing pages: Same as Claim 1, but explicitly states regions are defined based on HTML tags and elements.
  2. Monitoring viewing: Same as Claim 1, tracking pointing device location and duration, but does not explicitly exclude intervals where the pointing device does not move.
  3. Compiling text: Same as Claim 1.
  4. Filtering and listing words: Same as Claim 1.
  5. Semantic comparison: For regions viewed above a specified threshold, this step involves:
     • Statistically tokenizing and parsing the frequently used words and phrases.
     • Storing these tokenized and parsed words/phrases in an associative database using conceptual graph formalism.
     • Comparing these words in the associative database to tokenized and parsed words from additional content using a transformational algebra-based semantic rule-set.
  6. Providing content: Same as Claim 1, selecting and providing relevant internet-based content with semantic similarity above a pre-specified threshold.