International business machines corporation (20240127321). USER CONTEXT-AWARE WEBSITE OPTIMIZATION FRAMEWORK simplified abstract

USER CONTEXT-AWARE WEBSITE OPTIMIZATION FRAMEWORK

Organization Name

international business machines corporation

Inventor(s)

Venkata Vara Prasad Karri of Visakhapatnam (IN)

Hemant Kumar Sivaswamy of Pune (IN)

Shikhar Kwatra of San Jose CA (US)

Preethi Balakrishnan of Chennai (IN)

USER CONTEXT-AWARE WEBSITE OPTIMIZATION FRAMEWORK - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240127321 titled 'USER CONTEXT-AWARE WEBSITE OPTIMIZATION FRAMEWORK

Simplified Explanation

The patent application describes a computer-based system for providing recommendations to users based on their interests and social network data. Here is a simplified explanation of the abstract:

• Aggregating items available from different e-commerce websites in a blockchain.
• Retrieving and processing social network data to determine contacts of the user in different geographic regions.
• Determining the likelihood of each contact traveling to the user's geographic region.
• Selecting a website that offers the item and corresponds to a geographic region of a selected contact.
• Presenting the selected website to the user as an option for obtaining the item.

Potential Applications

This technology could be applied in e-commerce platforms, travel websites, and social networking sites to provide personalized recommendations to users based on their interests and social connections.

Problems Solved

This technology solves the problem of users having to manually search for items of interest on different e-commerce websites, by aggregating them in one place and offering personalized recommendations based on social network data.

Benefits

The benefits of this technology include saving time for users, increasing the likelihood of finding relevant items, and enhancing the overall shopping experience by providing personalized recommendations.

Potential Commercial Applications

The potential commercial applications of this technology include e-commerce platforms, travel agencies, and social networking sites looking to enhance user engagement and increase sales through personalized recommendations.

Possible Prior Art

One possible prior art for this technology could be personalized recommendation systems used in e-commerce platforms and social networking sites, although the specific combination of aggregating items from different websites based on social network data may be unique.

How does the system ensure the privacy and security of users' social network data?

The patent application does not provide details on how the system protects the privacy and security of users' social network data. This is an important consideration, especially given the sensitivity of personal information shared on social networking sites.

What measures are in place to prevent bias or manipulation in the selection of websites and contacts for recommendations?

The patent application does not address how the system prevents bias or manipulation in the selection of websites and contacts for recommendations. Ensuring fairness and transparency in the recommendation process is crucial to maintaining user trust and satisfaction.

Original Abstract Submitted

computer-based provision of recommendations includes determining an item of interest to a user and a geographic region of the user. the item, as available from different e-commerce websites (websites) of geographic regions that are different from the geographic region of the user are aggregated within blockchain. social network data for the user is retrieved and processed using natural language processing to determine contacts of the user located in the geographic regions of the websites. a likelihood of each contact traveling to the geographic region of the user is determined based on the social networking data. a website is selected that offers the item and that corresponds to a geographic region of a selected contact. the selected contact of the user has at least a minimum likelihood of traveling to the geographic region of the user. the selected website is presented to the user as an option for obtaining the item.