VideoContentSearchListAnchorFeatures

AI Overview😉

  • The potential purpose of this module is to analyze and understand the content of video descriptions, specifically the list-style anchors within them. It appears to be focused on extracting relevant information about each list item, such as its index, matching scores with Automatic Speech Recognition (ASR) snippets, and similarity with the video title.
  • This module could impact search results by influencing the ranking of videos based on the relevance and accuracy of their list-style anchors. Videos with well-structured and descriptive list anchors may be considered more informative and user-friendly, potentially leading to higher rankings. Conversely, videos with poorly constructed or irrelevant list anchors may be penalized.
  • To be more favorable for this function, a website could focus on creating high-quality, descriptive, and well-structured video descriptions, particularly when it comes to list-style anchors. This may include:
    • Using clear and concise language in list anchors
    • Ensuring list anchors accurately reflect the content of the video
    • Optimizing list anchors for relevant keywords and phrases
    • Using a consistent and logical structure for list anchors throughout the video description

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

Anchor-level Metadata about list description anchors.

Attributes

  • babelMatch (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchTextMatchInfo.t, default: nil) - The babel match info of the list anchor with its matched ASR text.
  • descriptionSpanInfo (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchDescriptionSpanInfo.t, default: nil) - The description span metadata about list anchor when the anchor source is DESCRIPTION_SPANS.
  • listItemIndex (type: integer(), default: nil) - The list item index of this anchor in the video description.
  • matchScores (type: list(GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMatchScores.t), default: nil) - The metadata about this list item's matches with different ASR snippets. This is currently used in the base model (DTW) to generate candidate anchors.
  • pretriggerScore (type: number(), default: nil) - The score from the pretrigger model.
  • titleAnchorBabelMatchScore (type: number(), default: nil) - Babel similarity between the anchor and the video title.

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.VideoContentSearchListAnchorFeatures{
    babelMatch:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchTextMatchInfo.t()
      | nil,
    descriptionSpanInfo:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchDescriptionSpanInfo.t()
      | nil,
    listItemIndex: integer() | nil,
    matchScores:
      [GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMatchScores.t()]
      | nil,
    pretriggerScore: number() | nil,
    titleAnchorBabelMatchScore: number() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.