VideoContentSearchDescriptionSpanInfo

AI Overview😉

  • The potential purpose of this module is to analyze the relevance and quality of video descriptions in search results. It appears to be evaluating the context and content of the description, including the number of tokens (words or phrases) in the sentence and the description span, as well as the scores of the Dolphin span model, which may be a machine learning model used to assess the description's quality.
  • This module could impact search results by influencing the ranking of videos based on the quality and relevance of their descriptions. Videos with well-written, descriptive, and relevant descriptions may be ranked higher, while those with poor or irrelevant descriptions may be demoted. This could lead to a better user experience, as users are more likely to find videos that accurately match their search queries.
  • To be more favorable for this function, a website could focus on creating high-quality, descriptive, and relevant video descriptions. This could include: Using keywords and phrases from the video content in the description Providing a clear and concise summary of the video Ensuring the description is well-written and free of errors Using a natural and conversational tone in the description Optimizing the description for readability and user experience

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

Metadata about the span when the anchor source is description span.

Attributes

  • contextTokenCount (type: integer(), default: nil) - The number of tokens in the context (sentence) where the description span is extracted from.
  • dolphinScores (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchSpanDolphinScores.t, default: nil) - The inference result from the Dolphin span model if the anchor's source is description span.
  • spanDolphinScoreStats (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t, default: nil) - A summary of the Dolphin span token scores for the selected candidate. Currently, dolphin_scores in DescriptionSpanInfo would only contain a single span candidate so this field is essentially the copy of the score_stats for that span candidate.
  • spanTokenCount (type: integer(), default: nil) - The number of tokens in the description span. The description span is formed from non-contiguous segment spans of a sentence (context), where each segment span's score satifsies the min span thresholds.
  • spanTokenCountRatio (type: number(), default: nil) - The ratio of span_token_count / context_token_count.

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.VideoContentSearchDescriptionSpanInfo{
    contextTokenCount: integer() | nil,
    dolphinScores:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchSpanDolphinScores.t()
      | nil,
    spanDolphinScoreStats:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t()
      | nil,
    spanTokenCount: integer() | nil,
    spanTokenCountRatio: number() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.