RepositoryWebrefMdvcMetadataPerVertical

AI Overview😉

  • The potential purpose of this module is to help Google understand the relationships between different concepts and entities within a specific vertical or topic area. It appears to be a part of Google's knowledge graph and aims to identify compatible concepts, dimensions, generalizations, and core topics within a vertical.
  • This module could impact search results by influencing the relevance and ranking of web pages based on their alignment with the identified concepts and entities. It may help Google to better understand the context and meaning of search queries and provide more accurate results. For example, if a user searches for a specific topic within a vertical, Google may use this module to identify relevant entities and concepts and rank results accordingly.
  • A website may change things to be more favorable for this function by ensuring that their content is well-structured and clearly defines the relationships between different concepts and entities. This could include using schema markup, entity disambiguation, and clear topic modeling to help Google understand the context and meaning of their content. Additionally, websites may want to focus on creating high-quality, in-depth content that explores specific topics and entities within a vertical, as this may be seen as more relevant and authoritative by Google's algorithm.

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

Per-vertical part. Next available tag: 19

Attributes

  • compatibleIds (type: list(String.t), default: nil) - Concept ids compatible with this topic: specializations and/or ones having this concept as a dimension. Always includes the topic itself.
  • dimensionIds (type: list(String.t), default: nil) - Concept ids of the dimension values of this topic.
  • expandedOutputIds (type: list(String.t), default: nil) - Concept ids to annotate whenever this entity is annotated.
  • generalizationIds (type: list(String.t), default: nil) - Concept ids of the generalizations of this topic.
  • isCore (type: boolean(), default: nil) - True if the topic is considered a "core topic" for the vertical.
  • isDimension (type: boolean(), default: nil) - If true, the entity is a dimension for some entities in the vertical.
  • isGeneralization (type: boolean(), default: nil) - If true, the entity is a generalization for some entities in the vertical.
  • resolutionPriority (type: integer(), default: nil) - Resolution priority for this entity. If there are many possible resolutions to a MDVC understanding, only the ones with the highest priority are annotated.
  • verticalName (type: String.t, default: nil) - Name of the vertical this message is about.

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.RepositoryWebrefMdvcMetadataPerVertical{
    compatibleIds: [String.t()] | nil,
    dimensionIds: [String.t()] | nil,
    expandedOutputIds: [String.t()] | nil,
    generalizationIds: [String.t()] | nil,
    isCore: boolean() | nil,
    isDimension: boolean() | nil,
    isGeneralization: boolean() | nil,
    resolutionPriority: integer() | nil,
    verticalName: String.t() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.