View source for 18376735. MEDIA CONSUMPTION HISTORY simplified abstract (GOOGLE LLC)

=MEDIA CONSUMPTION HISTORY=


==Organization Name==

[[:Category:GOOGLE LLC|GOOGLE LLC]]


[[Category:GOOGLE LLC]]

==Inventor(s)==

[[:Category:Matthew Sharifi of Kilchberg (CH)|Matthew Sharifi of Kilchberg (CH)]][[Category:Matthew Sharifi of Kilchberg (CH)]]

==MEDIA CONSUMPTION HISTORY - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18376735 titled 'MEDIA CONSUMPTION HISTORY

==Simplified Explanation==

Methods, systems, and apparatus are disclosed for providing information associated with an entity and selected knowledge elements in response to a search query. Here is a simplified explanation of the patent application:

* The patent application describes a method for receiving a request that includes a user identifier and an entity identifier referenced in a search query.
* The method involves identifying a plurality of knowledge elements related to the entity.
* It also involves identifying one or more items consumed by the user and associated with the entity in a consumption database.
* Rank scores are assigned to the knowledge elements based on the identified consumed items.
* Based on the rank scores, one or more knowledge elements are selected from the identified plurality of knowledge elements.
* In response to the request, information associated with the entity and the selected knowledge elements is provided.

Potential applications of this technology:

* Personalized recommendations: The technology can be used to provide personalized recommendations to users based on their search queries and consumed items.
* Content discovery: It can help users discover new knowledge elements related to the entity they are searching for.
* E-commerce: The technology can be applied in e-commerce platforms to suggest relevant products or services to users based on their search queries and consumed items.

Problems solved by this technology:

* Information overload: The technology helps users by filtering and selecting relevant knowledge elements based on their consumed items, reducing the amount of information they need to process.
* Lack of personalization: By considering the user's consumed items, the technology provides personalized information and recommendations tailored to the user's preferences and interests.

Benefits of this technology:

* Improved user experience: Users receive more relevant and personalized information, leading to a better search experience.
* Increased engagement: By providing relevant knowledge elements and recommendations, users are more likely to engage with the provided information and continue using the system.
* Enhanced decision-making: Users can make more informed decisions based on the information and recommendations provided, leading to better outcomes.


==Original Abstract Submitted==

Methods, systems, and apparatus for receiving a request that includes a user identifier of a user that submitted a search query and an entity identifier of an entity that is referenced by the search query, identifying a plurality of knowledge elements that are related to the entity, identifying, in a consumption database, one or more items that have been indicated as consumed by the user and that are associated with the entity that is referenced by the search query, assigning rank scores to the plurality of knowledge elements, based at least on identifying the one or more items, selecting one or more of the knowledge elements from among the knowledge elements based at least on the rank scores assigned to the knowledge elements, and providing, in response to the request, information associated with the entity and the one or more selected knowledge elements.



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