ResearchScamNearestNeighborsNeighbor

AI Overview😉

  • The potential purpose of this module is to identify and analyze the nearest neighbors of a search result, taking into account factors such as crowding, distance, and metadata. This helps Google's algorithm to better understand the relationships between search results and improve the overall search experience.
  • This module could impact search results by influencing the ranking of search results based on their proximity to other relevant results. It may also help to identify and filter out low-quality or spammy results that are clustered together. This could lead to a more diverse and relevant set of search results for users.
  • To be more favorable for this function, a website could focus on creating high-quality, relevant, and diverse content that is well-connected to other relevant results. This could include using natural language processing techniques to improve the semantic meaning of content, as well as building high-quality backlinks from other authoritative sources. Additionally, optimizing metadata and ensuring that it is accurately represented in search results could also improve a website's standing in the eyes of this module.

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

Attributes

  • crowdingAttribute (type: String.t, default: nil) - If crowding is enabled, the crowding attribute of this neighbor will be stored here.
  • distance (type: float(), default: nil) - This could be exact or approximate distance.
  • docid (type: String.t, default: nil) - Neighbor data point. This field is set based on the data_id_str field in the GFV of the data point in the database (or SSTable key if data_id_str is not present), and thus can be arbitrary data, e.g. docid, URL, query string.
  • gfv (type: GoogleApi.ContentWarehouse.V1.Model.ResearchScamGenericFeatureVector.t, default: nil) - The field isn't populated by default, but when enabled (eg, in the ground-truth pipeline), this field provides the original database GFV corresponding to this result.
  • metadata (type: String.t, default: nil) - Metadata about the neighbor. This is returned under some configurations as a serialized proto. The specific proto depends on which metadata is configured to be returned.

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.ResearchScamNearestNeighborsNeighbor{
    crowdingAttribute: String.t() | nil,
    distance: float() | nil,
    docid: String.t() | nil,
    gfv:
      GoogleApi.ContentWarehouse.V1.Model.ResearchScamGenericFeatureVector.t()
      | nil,
    metadata: 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.