VideoYoutubeCommentsClassificationProtoSmartSuggestion

AI Overview😉

  • The potential purpose of this module is to suggest smart replies to YouTube comments. It aims to provide diverse and relevant responses to users, making it easier for them to engage with content.
  • This module could impact search results by influencing the suggested replies that appear below YouTube videos. It may prioritize responses that are more engaging, diverse, or relevant to the conversation, which could lead to a more dynamic and interactive user experience. This, in turn, could affect the visibility and engagement of certain videos or channels.
  • To be more favorable to this function, a website or YouTube channel could focus on creating high-quality, engaging content that encourages users to participate in the conversation. This could involve asking thought-provoking questions, using attention-grabbing titles, or incorporating interactive elements into their videos. Additionally, using keywords and phrases that align with the topic of discussion could help the module better understand the context and provide more relevant suggested replies.

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

Attributes

  • diversificationThreshold (type: number(), default: nil) - Diversification threshold used in prediction. Additional responses which are closer than the threshold to the already selected responses will be skipped.
  • likelihoodBiasWeight (type: number(), default: nil) - Bias weight used in prediction.
  • replyContent (type: String.t, default: nil) - Content of the reply snippet (could include emoji as well as text).
  • score (type: float(), default: nil) - Model score for the predicted reply snippet.

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.VideoYoutubeCommentsClassificationProtoSmartSuggestion{
    diversificationThreshold: number() | nil,
    likelihoodBiasWeight: number() | nil,
    replyContent: String.t() | nil,
    score: float() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.