20240037161. VALUE-BASED ONLINE CONTENT SEARCH ENGINE simplified abstract (Time Economy LTD.)

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VALUE-BASED ONLINE CONTENT SEARCH ENGINE

Organization Name

Time Economy LTD.

Inventor(s)

Amir Peled of Odense (DK)

VALUE-BASED ONLINE CONTENT SEARCH ENGINE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240037161 titled 'VALUE-BASED ONLINE CONTENT SEARCH ENGINE

Simplified Explanation

The patent application describes a method for searching and recommending online consumable items based on quantified benefit values. Here are the bullet points explaining the patent:

  • Users define benefit parameters for specific domains of interest.
  • The method searches for consumable items related to the user's interests in online resources.
  • Each consumable item has a benefit label indicating quantified benefit values in metrics such as time value, monetary value, and/or life improvement value.
  • The method selects consumable items that have quantified benefit values corresponding to the user's benefit parameters.
  • The selected consumable items are presented to the users for consumption.

Potential applications of this technology:

  • E-commerce platforms can use this method to recommend products to users based on their specific benefit preferences.
  • Online service providers can utilize this method to suggest relevant services to users based on their desired benefits.
  • Content recommendation systems can employ this method to suggest articles, videos, or other consumable content based on the user's benefit preferences.

Problems solved by this technology:

  • Users often struggle to find relevant and beneficial consumable items among the vast amount of options available online. This method helps users discover items that align with their specific benefit preferences.
  • Traditional recommendation systems may not take into account the quantified benefit values of consumable items. This method ensures that the recommended items have quantifiable benefits that match the user's preferences.

Benefits of this technology:

  • Users can easily find and consume items that provide specific benefits they are looking for.
  • The method helps users save time and effort by filtering out irrelevant items and presenting only those with desired benefits.
  • By considering quantified benefit values, the method ensures that the recommended items have tangible benefits, increasing user satisfaction and trust in the recommendations.


Original Abstract Submitted

a method of searching and recommending online consumable items based on quantified benefit value, comprising receiving one or more benefit parameters defined by one or more users with respect to one or more domains of interest, searching for a plurality of consumable items relating to the interest domain(s) which are published in one or more online resources, analyzing a benefit label associated with each consumable items which is indicative of one or more quantified benefit values of the respective consumable item expressed in one or more metrics—time value, monetary value, and/or life improvement value, selecting one or more of the consumable items based on a correspondence between their quantified benefit values and the benefit parameter(s), and instructing one or more client devices used by the one or more users to present the selected consumable item(s) for consumption by the one or more users.