QualityViewsExtractionClusterInfo

AI Overview😉

  • Potential purpose of module in simple language: This module, QualityViewsExtractionClusterInfo, appears to be responsible for clustering and scoring entities (e.g., web pages, articles) based on their relevance and similarity to a search query. It helps to group related entities together and assign a score to each entity within the cluster, indicating its importance or confidence level.
  • How it could impact search results: This module can impact search results by influencing the ranking and grouping of search results. It may help to: Identify and promote high-quality, relevant content that is closely related to the search query. Demote or filter out low-quality or irrelevant content that doesn't fit well with the search query. Provide a more organized and structured search results page, with related entities grouped together. Improve the overall user experience by providing more accurate and relevant search results.
  • How a website may change things to be more favorable for this function: To be more favorable for this module, a website can: Ensure high-quality, relevant, and well-structured content that is easily crawlable and indexable by search engines. Use clear and concise language, headings, and meta tags to help search engines understand the content and its relevance to specific search queries. Organize content in a logical and hierarchical manner, making it easier for search engines to identify relationships between entities. Focus on creating unique, informative, and engaging content that provides value to users, rather than trying to manipulate search engine rankings.

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

Stores cluster scoring information for an entity Next Id: 6

Attributes

  • clusterId (type: String.t, default: nil) - The cluster_id represents the id of the set entity that WebRef provides.
  • clusterSetScore (type: number(), default: nil) - Cluster set qref confidence score.
  • clusterSiblingMid (type: list(String.t), default: nil) - The mids of cluster members that are part of the same cluster. Note that cluster members may end up having their own interpretation (EntityInfo which includes a ClusterInfo) or not (eg because they do not explain the full query, and so aqua does not output an interpretation for them). The latter case (a cluster member is output only as part of this field), is equivalent to its score being 0.
  • score (type: number(), default: nil) - The score represents the score of the entity within the cluster.
  • subCluster (type: list(GoogleApi.ContentWarehouse.V1.Model.QualityViewsExtractionClusterInfo.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.QualityViewsExtractionClusterInfo{
  clusterId: String.t() | nil,
  clusterSetScore: number() | nil,
  clusterSiblingMid: [String.t()] | nil,
  score: number() | nil,
  subCluster: [t()] | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.