VideoContentSearchBleurtFeatures

AI Overview😉

  • The potential purpose of this module is to analyze and compare the semantic meaning of video content and its associated text, such as titles, descriptions, and transcripts, to improve video search results. It appears to use a technique called Bleurt, which is a BERT-based algorithm for evaluating text similarity.
  • This module could impact search results by allowing Google to better understand the content of videos and return more relevant results for video searches. It may also help to reduce the visibility of low-quality or misleading video content. The comparison of candidate and reference texts could help to identify videos with more accurate or informative titles, descriptions, or transcripts, and rank them higher in search results.
  • A website may change things to be more favorable for this function by ensuring that their video content has accurate, informative, and descriptive titles, descriptions, and transcripts. This could include using natural language and avoiding keyword stuffing or misleading text. Additionally, using high-quality, relevant, and descriptive thumbnails could also improve the video's visibility in search results. Providing a clear and concise summary of the video content could also help this module to better understand the video's meaning and relevance.

Interesting Module? Vote 👇

Voting helps other researchers find interesting modules.

Current Votes: 0

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

Contains features needed for Bleurt inference.

Attributes

  • candidate (type: String.t, default: nil) -
  • reference (type: String.t, default: nil) -

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.VideoContentSearchBleurtFeatures{
  candidate: String.t() | nil,
  reference: 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.