VideoContentSearchCaptionSpanAnchorSetFeatures

AI Overview😉

  • The potential purpose of this module is to analyze and evaluate the relevance and accuracy of video captions, specifically the anchor text within the captions, to improve video search results. It appears to use a scoring system, referred to as "dolphin scores," to quantify the quality of the captions.
  • This module could impact search results by promoting videos with high-quality, accurate, and relevant captions to the top of search results, while demoting videos with low-quality or inaccurate captions. This could lead to a better user experience, as users are more likely to find videos that match their search queries.
  • To be more favorable to this function, a website could focus on providing high-quality, accurate, and relevant video captions. This could include using automated captioning tools, followed by human review and editing to ensure accuracy. Additionally, websites could use descriptive and keyword-rich anchor text within their captions to improve their dolphin scores. Furthermore, ensuring that captions are properly formatted and easily parseable by Google's algorithm could also improve the website's standing.

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

Attributes

  • anchorSetDolphinScoreStats (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t, default: nil) - A summary of the dolphin scores over the anchor set.

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.VideoContentSearchCaptionSpanAnchorSetFeatures{
    anchorSetDolphinScoreStats:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t()
      | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.