VideoContentSearchListTrainingDataSetFeatures

AI Overview😉

  • The potential purpose of this module is to analyze and understand the relevance and accuracy of video descriptions, particularly in the context of list-style content (e.g., "Top 10..."). It appears to be evaluating how well the description anchors (key phrases or sentences) match the actual video content, and timing of when they appear in the video.
  • This module could impact search results by influencing the ranking of videos based on the quality and relevance of their descriptions. Videos with more accurate and well-matched description anchors may be considered more relevant and useful to users, and therefore ranked higher in search results. Conversely, videos with poor or misleading descriptions may be demoted.
  • To be more favorable for this function, a website or video content creator could focus on creating high-quality, accurate, and descriptive video titles and descriptions that closely match the content of the video. This could include using relevant keywords, providing a clear and concise summary of the video, and ensuring that the description anchors accurately reflect the video's content. Additionally, optimizing the timing and placement of description anchors within the video could also improve the video's ranking.

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

Cluster-level metadata about the description anchors used as list items to build training data for list anchors.

Attributes

  • editDistanceRatioStats (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t, default: nil) - Summary of the edit_distance_ratios of the description spans from their best matched description anchor texts.
  • editDistanceStats (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t, default: nil) - Summary of the edit_distances of the description spans from their best matched description anchor texts.
  • matchedDescriptionAnchorsTimegapStats (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t, default: nil) - Median, average and standard deviation of time gaps of when the description anchors is annotated to appear in the video (description_anchor_time_ms) from when they are matched in the ASR as the list description anchors.
  • numDescriptionAnchors (type: integer(), default: nil) - Number of description anchors in the description of this video.

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.VideoContentSearchListTrainingDataSetFeatures{
    editDistanceRatioStats:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t()
      | nil,
    editDistanceStats:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t()
      | nil,
    matchedDescriptionAnchorsTimegapStats:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t()
      | nil,
    numDescriptionAnchors: integer() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.