Salesforce, inc. (20240265051). COOKIELESS DELIVERY OF PERSONALIZIED CONTENT simplified abstract

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COOKIELESS DELIVERY OF PERSONALIZIED CONTENT

Organization Name

salesforce, inc.

Inventor(s)

Muralidhar Krishnaprasad of Seattle WA (US)

Kristen Chapman of Hopedale MA (US)

COOKIELESS DELIVERY OF PERSONALIZIED CONTENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240265051 titled 'COOKIELESS DELIVERY OF PERSONALIZIED CONTENT

The abstract describes a computer-implemented method for providing targeted content to a user based on their market segment. This involves generating a query index from a data corpus, constructing a browser-executable library with the query index, and transmitting it to the user's local machine browser. The library matches user-specific data stored locally to deliver targeted content.

  • The method involves generating a query index from a data corpus.
  • The browser-executable library is constructed with the query index.
  • The library is transmitted to the user's local machine browser.
  • User-specific data stored locally is matched to deliver targeted content.
  • The technology enables personalized content delivery based on market segments.
      1. Potential Applications:

This technology can be applied in targeted advertising, personalized recommendations, and user-specific content delivery in various online platforms.

      1. Problems Solved:

This technology addresses the challenge of delivering relevant content to users based on their specific market segment without relying on external servers for data processing.

      1. Benefits:

- Enhanced user experience with personalized content delivery - Improved engagement and conversion rates for online platforms - Efficient utilization of user-specific data stored locally for targeted content delivery

      1. Commercial Applications:

Title: Personalized Content Delivery Technology This technology can be utilized in digital marketing, e-commerce platforms, social media networks, and content streaming services to enhance user engagement and drive conversions through targeted content delivery.

      1. Prior Art:

Further research can be conducted in the field of personalized content delivery, browser-based data processing, and user-specific data matching techniques to explore prior art related to this technology.

      1. Frequently Updated Research:

Stay updated on advancements in browser-based technologies, data processing algorithms, and user behavior analysis to enhance the efficiency and effectiveness of personalized content delivery systems.

        1. Questions about Personalized Content Delivery Technology:

1. How does this technology ensure user data privacy and security? 

  - The technology operates within the user's local machine browser, ensuring that user-specific data is only processed locally and not transmitted to external servers.

2. What measures are in place to prevent data breaches or unauthorized access to user-specific information? 

  - The browser-executable library is designed to match user-specific data stored locally, minimizing the risk of data breaches or unauthorized access to sensitive information.


Original Abstract Submitted

a computer-implemented method of providing targeted content to a user includes generating a query index from a data corpus, the query index including a plurality of market segment-based queries, wherein each market segment-based query of the plurality of queries is configured to provide targeted content on a browser user interface of a user determined to be within a corresponding market segment. the method further includes constructing the browser-executable library including the query index, where the browser-executable library is configured to execute within a local machine browser of the user, and transmitting the browser-executable library to the local machine browser of the user, wherein the browser-executable library is configured to determine that a query of the plurality of market segment-based queries matches user-specific data only stored in the local machine browser of the user, where the query matching the user-specific data stored in the local machine browser of the user is configured to cause the local machine browser to request the targeted content corresponding to the user-specific data.

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