VideoContentSearchInstructionTrainingDataAnchorFeatures

AI Overview😉

  • The potential purpose of this module is to analyze the relationship between different parts of a video content, such as instruction passages, description anchors, and ASR (Automatic Speech Recognition) n-grams. It aims to identify the best matches between these elements, which can help in understanding the video's content and relevance to a search query.
  • This module could impact search results by influencing the ranking of videos based on their instructional content. Videos with clear, well-matched instruction passages, description anchors, and ASR n-grams may be considered more relevant and informative, thus ranking higher in search results. Conversely, videos with poor matches or lacking in these elements may rank lower.
  • A website may change things to be more favorable for this function by ensuring that their video content has clear, descriptive, and well-structured instruction passages, description anchors, and ASR n-grams. This could involve using natural language processing techniques to improve the accuracy of ASR, using clear and concise language in instruction passages, and providing relevant and descriptive description anchors. Additionally, websites could optimize their video metadata, such as titles, descriptions, and tags, to better match the search queries and improve the overall relevance of their video content.

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

Anchor-level metadata about the instruction anchors. Each instruction passage anchor can contain multiple instruction steps and multiple description anchors and thus the following fields are defined as repeated.

Attributes

  • bestAsrAndDescriptionAnchorsMatchInfo (type: list(GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchSimilarityMatchInfo.t), default: nil) - The match info about the description anchor matches with the ASR n-grams in the instruction passage. Each element represents the best match between a given description anchor and all qualified n-grams within the passage.
  • bestDescriptionAndInstructionAnchorsMatchInfo (type: list(GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchSimilarityMatchInfo.t), default: nil) - The match info about the description anchor matches with the instruction anchors in a instruction passage. Each element represents the best match between a given description anchor and all the instruction anchors in the passage.
  • instructionAnchorsMatchInfo (type: list(GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchSimilarityMatchInfo.t), default: nil) - The match info about the instruction steps matches with the ASR. Each instruction step corresponds to a step extracted from a web doc. Each instruction passage can contain multiple instruction step matches thus the repeated field.

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.VideoContentSearchInstructionTrainingDataAnchorFeatures{
    bestAsrAndDescriptionAnchorsMatchInfo:
      [
        GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchSimilarityMatchInfo.t()
      ]
      | nil,
    bestDescriptionAndInstructionAnchorsMatchInfo:
      [
        GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchSimilarityMatchInfo.t()
      ]
      | nil,
    instructionAnchorsMatchInfo:
      [
        GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchSimilarityMatchInfo.t()
      ]
      | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.