VideoContentSearchDolphinEnsembleScore

AI Overview😉

  • The potential purpose of this module is to evaluate the relevance and quality of video content in search results. The "Dolphin Ensemble Score" suggests that it's a machine learning model that assesses videos based on various factors, such as content, metadata, and user engagement. This module likely helps Google to rank videos in search results, ensuring that users see the most relevant and high-quality videos at the top.
  • This module could impact search results by influencing the ranking of videos. Videos with higher Dolphin Ensemble Scores may be considered more relevant or engaging, and therefore, may appear higher in search results. This could lead to a better user experience, as users are more likely to find high-quality videos that match their search queries. On the other hand, videos with lower scores may be demoted in search results, making it harder for users to find them.
  • To be more favorable for this function, a website may focus on improving the quality and relevance of its video content. This could include: optimizing video metadata, such as titles, descriptions, and tags; ensuring that videos are engaging, informative, and well-produced; promoting user interaction, such as likes, comments, and shares; and using schema markup to provide additional context about the video content. By doing so, websites may increase their chances of receiving higher Dolphin Ensemble Scores, which could lead to better visibility in search results.

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

Contains information about the scores from each individual dolphin ensemble model.

Attributes

  • dolphinScore (type: number(), default: nil) - The score generated by the Dolphin callout model.
  • modelName (type: String.t, 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.VideoContentSearchDolphinEnsembleScore{
    dolphinScore: number() | nil,
    modelName: 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.