VideoContentSearchTokenAlignment

AI Overview😉

  • The potential purpose of this module is to align and compare the tokens (words or phrases) in a search query (hypothesis text) with the tokens in a relevant document or video content (reference text). This allows the algorithm to identify the most relevant and matching content to the user's search query.
  • This module could impact search results by influencing the ranking of documents or videos based on how well their content matches the search query. If a document or video has a high token alignment with the search query, it may be considered more relevant and therefore ranked higher in the search results. This could lead to more accurate and relevant search results, especially for long-tail or specific searches.
  • To be more favorable for this function, a website or content creator could focus on using clear, concise, and relevant language in their content, especially in titles, headings, and meta descriptions. This would increase the chances of their content being matched with the search query tokens, leading to a higher ranking. Additionally, using natural language and avoiding keyword stuffing could also improve the token alignment and overall search engine ranking.

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

Token by token mapping between hypothesis text and reference text.

Attributes

  • hypothesisIndex (type: integer(), default: nil) - Index of the token in hypothesis text.
  • hypothesisToken (type: String.t, default: nil) - Token in hypothesis.
  • referenceIndex (type: integer(), default: nil) - Index of the word in reference.
  • referenceToken (type: String.t, default: nil) - Token in label.
  • tokenIsMatched (type: boolean(), default: nil) - Whether it's a perfect match.

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.VideoContentSearchTokenAlignment{
  hypothesisIndex: integer() | nil,
  hypothesisToken: String.t() | nil,
  referenceIndex: integer() | nil,
  referenceToken: String.t() | nil,
  tokenIsMatched: boolean() | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.