View source for 18454884. Query Categorization Based on Image Results simplified abstract (Google LLC)

=Query Categorization Based on Image Results=


==Organization Name==

[[:Category:Google LLC|Google LLC]]


[[Category:Google LLC]]

==Inventor(s)==

[[:Category:Anna Majkowska of San Francisco CA (US)|Anna Majkowska of San Francisco CA (US)]][[Category:Anna Majkowska of San Francisco CA (US)]]

[[:Category:Cristian Tapus of Santa Clara CA (US)|Cristian Tapus of Santa Clara CA (US)]][[Category:Cristian Tapus of Santa Clara CA (US)]]

==Query Categorization Based on Image Results - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18454884 titled 'Query Categorization Based on Image Results

==Simplified Explanation==

The abstract of this patent application describes a method for categorizing queries based on image results. The method involves receiving images from image results related to a query and analyzing the content of selected images to associate them with annotations. The annotations are based on user behavior data and the order in which the images appear in the search results.

* The method categorizes queries based on image results.
* Images from the search results are received and analyzed.
* Selected images are associated with annotations based on their content.
* User behavior data and the order of images in the search results are considered.

==Potential Applications==
This technology has potential applications in various fields, including:

* Search engine optimization: The method can help improve the categorization and organization of search queries based on image results, enhancing the accuracy and relevance of search engine optimization strategies.
* E-commerce: By categorizing queries based on image results, this technology can assist in providing more targeted and relevant product recommendations to online shoppers.
* Content filtering: The method can be used to categorize queries and filter out inappropriate or irrelevant content from search results, ensuring a safer and more user-friendly online experience.

==Problems Solved==
This technology addresses several problems, including:

* Query categorization: By analyzing image results and associating them with annotations, the method improves the categorization of queries, making it easier for users to find the information they are looking for.
* User behavior analysis: The inclusion of user behavior data in the analysis helps identify patterns and preferences, allowing for a more personalized and tailored search experience.
* Content relevance: By considering the order of images in the search results, the method ensures that the most relevant and useful content is associated with the appropriate queries.

==Benefits==
The use of this technology offers several benefits, such as:

* Improved search accuracy: By categorizing queries based on image results, the method enhances the accuracy and relevance of search engine results, providing users with more precise and useful information.
* Personalized search experience: The analysis of user behavior data allows for a more personalized search experience, as the method takes into account individual preferences and patterns.
* Enhanced content organization: By associating images with annotations, the method helps organize and categorize content, making it easier for users to navigate and find relevant information.


==Original Abstract Submitted==

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for query categorization based on image results. In one aspect, a method includes receiving images from image results responsive to a query, wherein each of the images is associated with an order in the image results and respective user behavior data for the image as a search result for the first query, and associating one or more of the first images with a plurality of annotations based on analysis of the selected first images' content.



[[Category:G06F16/532]]