View source for Google llc (20240112222). Automatic Association Of Products And Services To Be Advertised With Queries Upon Which To Advertise Them, Without Manual Selection Of Query Terms simplified abstract

=Automatic Association Of Products And Services To Be Advertised With Queries Upon Which To Advertise Them, Without Manual Selection Of Query Terms=


==Organization Name==

[[:Category:google llc|google llc]]


[[Category:google llc]]

==Inventor(s)==

[[:Category:Alok Anilkumar Sheth of Rutherford NJ (US)|Alok Anilkumar Sheth of Rutherford NJ (US)]][[Category:Alok Anilkumar Sheth of Rutherford NJ (US)]]

[[:Category:Enoch Chee-Lok Lau of Brooklyn NY (US)|Enoch Chee-Lok Lau of Brooklyn NY (US)]][[Category:Enoch Chee-Lok Lau of Brooklyn NY (US)]]

[[:Category:Brett Alexander Benowitz of Allendale NJ (US)|Brett Alexander Benowitz of Allendale NJ (US)]][[Category:Brett Alexander Benowitz of Allendale NJ (US)]]

[[:Category:Dharma Muppalla of Sunnyvale CA (US)|Dharma Muppalla of Sunnyvale CA (US)]][[Category:Dharma Muppalla of Sunnyvale CA (US)]]

[[:Category:Noah Ronald Freeman of Boston MA (US)|Noah Ronald Freeman of Boston MA (US)]][[Category:Noah Ronald Freeman of Boston MA (US)]]

[[:Category:Eric Lo of New York NY (US)|Eric Lo of New York NY (US)]][[Category:Eric Lo of New York NY (US)]]

==Automatic Association Of Products And Services To Be Advertised With Queries Upon Which To Advertise Them, Without Manual Selection Of Query Terms - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240112222 titled 'Automatic Association Of Products And Services To Be Advertised With Queries Upon Which To Advertise Them, Without Manual Selection Of Query Terms

==Simplified Explanation==

The technology described in the abstract relates to automatically associating products and services to be advertised in response to a search query and providing sponsored advertisements for output with the search query results on a publisher's website or mobile application. An ad advertiser may create an ad campaign for products without including or identifying keywords associated with the product. Upon receiving a request for an advertisement, an ad server may generate synonyms, or keywords, for the terms in the request. The ad server generated keywords may be used to identify available products that match, or are relevant to, the search query. The ad server may determine a quality of the match and, based on the quality, determine which products are most relevant to the search query. The ad server may solicit bids from the advertisers of the relevant ad campaigns. The winning ads may be returned to the publisher for output.

* Automatically associating products and services to be advertised in response to a search query
* Providing sponsored advertisements for output with the search query results
* Generating synonyms or keywords for terms in a search query
* Identifying available products that match the search query
* Determining the quality of the match and relevance of products
* Soliciting bids from advertisers of relevant ad campaigns
* Returning winning ads to the publisher for output

== Potential Applications ==
This technology can be applied in online advertising, e-commerce platforms, digital marketing campaigns, and search engine optimization strategies.

== Problems Solved ==
This technology solves the problem of efficiently matching relevant products to search queries without the need for explicit keyword identification by advertisers.

== Benefits ==
The benefits of this technology include improved targeting of advertisements, increased relevance of ads to users, higher click-through rates, and potentially higher conversion rates for advertisers.

== Potential Commercial Applications ==
The potential commercial applications of this technology include online advertising platforms, digital marketing agencies, e-commerce websites, and search engine companies.

== Possible Prior Art ==
One possible prior art for this technology could be the use of machine learning algorithms in online advertising to optimize ad targeting and relevance to users. Another could be the use of keyword generation tools in digital marketing campaigns to improve search engine rankings.

=== Unanswered Questions ===

== How does this technology handle privacy concerns related to targeted advertising? ==
This article does not address the specific measures taken to ensure user privacy and data protection in the context of targeted advertising.

== What are the potential limitations or challenges faced by this technology in real-world applications? ==
The article does not discuss any potential drawbacks, limitations, or challenges that may arise when implementing this technology in practical settings.


==Original Abstract Submitted==

the technology generally relates to automatically associating products and services to be advertised in response to a search query and providing sponsored advertisements for output with the search query results on a publisher's website or mobile application. an ad advertiser may create an ad campaign for products without including or identifying keywords associated with the product. upon receiving a request for an advertisement, an ad server may generate synonyms, or keywords, for the terms in the request. the ad server generated keywords may be used to identify available products that match, or are relevant to, the search query. the ad server may determine a quality of the match and, based on the quality, determine which products are most relevant to the search query. the ad server may solicit bids from the advertisers of the relevant ad campaigns. the winning ads may be returned to the publisher for output.



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