CrowdingPerDocDataNewsCluster

AI Overview😉

  • The potential purpose of this module is to group similar news articles together, known as "crowding", to prevent duplicate or very similar results from appearing in search results. This helps to provide a more diverse set of results for users.
  • This module could impact search results by influencing the ranking of news articles. If an article is part of a large cluster of similar articles, it may be demoted in the search results to make room for more diverse content. This could lead to a more varied set of search results, but may also potentially hide relevant information if the clustering algorithm is not accurate.
  • To be more favorable for this function, a website may focus on creating unique and diverse content that stands out from other similar articles. This could include using different keywords, writing styles, and perspectives to differentiate their content from others. Additionally, websites may want to ensure that their articles are accurately categorized and tagged to help the clustering algorithm understand the content and group it correctly.

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

For crowding in news we need to keep data about the last X clustering iterations around.

Attributes

  • ClusterId (type: String.t, default: nil) - Fingerprint combination of all urls in a cluster
  • ClusterSize (type: integer(), default: nil) - This is the X in the "and X related >>" link on headlines and search results
  • ClusterTimeStamp (type: integer(), default: nil) - When was this clustered (needed for keeping last X iterations around and discarding earlier ones)

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.CrowdingPerDocDataNewsCluster{
  ClusterId: String.t() | nil,
  ClusterSize: integer() | nil,
  ClusterTimeStamp: integer() | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.