VideoContentSearchSpanDolphinFeatures

AI Overview😉

  • The potential purpose of this module is to analyze video content, specifically the title and transcript (passage) of a video, to better understand its relevance and context. This module, called "DolphinFeatures", seems to be a part of Google's search algorithm that focuses on video content.
  • This module could impact search results by giving more weight to videos that have accurate and descriptive titles, as well as transcripts that match the search query. It may also help to filter out videos with misleading titles or low-quality content. This could lead to more relevant and accurate video results in search engine results pages (SERPs).
  • To be more favorable to this function, a website could ensure that their video titles accurately reflect the content of the video, and that the transcripts (passages) are complete, accurate, and well-formatted. Additionally, optimizing video metadata, such as descriptions and tags, could also improve the video's visibility and relevance in search results.

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

Attributes

  • passage (type: String.t, default: nil) - The text passage from ASR.
  • title (type: String.t, default: nil) - The title of the 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.VideoContentSearchSpanDolphinFeatures{
    passage: String.t() | nil,
    title: String.t() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.