RepositoryWebrefCategoryAnnotationBrowsyTopic

AI Overview😉

  • The potential purpose of this module is to analyze and categorize web pages into "browsy topics" which are likely topics or categories that users might be interested in when browsing the internet. This module is likely used to improve search results by understanding the context and intent behind a user's search query.
  • This module could impact search results by influencing the ranking of web pages based on their relevance to a particular browsy topic. For example, if a user searches for "summer fashion", a webpage that is categorized as a "fashion" browsy topic might be ranked higher than a webpage that is not. This could lead to more personalized and relevant search results for users.
  • To be more favorable for this function, a website could ensure that its content is well-structured and easily categorizable into a specific browsy topic. This could be achieved by using clear and descriptive headings, meta tags, and keywords that accurately reflect the topic of the webpage. Additionally, websites could focus on creating high-quality, engaging content that is relevant to a specific topic or category, which could increase the confidence score of the browsy topic annotation.

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GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefCategoryAnnotationBrowsyTopic (google_api_content_warehouse v0.4.0)

Experimental scores for browsy topics, see go/example-docs-with-implicit-fashion-styles go/browsy-entities

Attributes

  • confidence (type: number(), default: nil) -

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

Link to this type

t()

@type t() ::
  %GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefCategoryAnnotationBrowsyTopic{
    confidence: number() | nil
  }

Functions

Link to this function

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.