ResearchScamV3Restrict

AI Overview😉

  • The potential purpose of this module is to filter out or restrict certain search results based on specific criteria, such as tokens, numeric values, or custom namespaces. It's like a quality control mechanism to ensure that the search results meet certain standards or guidelines.
  • This module could impact search results by excluding certain websites or content that don't meet the specified criteria. For example, if a custom namespace is set up to restrict results to only include websites with a certain level of expertise or credibility, then websites that don't meet that criteria would be excluded from the search results. This could lead to more relevant and trustworthy search results, but also potentially limit the diversity of results.
  • A website may change things to be more favorable for this function by ensuring that their content meets the specified criteria. For example, if the custom namespace is set up to restrict results to only include websites with a certain level of expertise, then a website could focus on creating high-quality, expert-level content to increase their chances of being included in the search results. Additionally, websites could also focus on optimizing their metadata and structuring their content in a way that makes it easier for the algorithm to understand and categorize their content.

Interesting Module? Vote 👇

Voting helps other researchers find interesting modules.

Current Votes: 0

GoogleApi.ContentWarehouse.V1.Model.ResearchScamV3Restrict (google_api_content_warehouse v0.4.0)

//////////////////////////////////////////////////////////////////////////// Note that: Your overall query is an AND across namespaces across types. Namespaces names are independent across different restrict types (token, numeric and custom).

Attributes

  • customNamespaces (type: list(GoogleApi.ContentWarehouse.V1.Model.ResearchScamCustomRestrictNamespace.t), default: nil) - This field allows custom restrict extension. - It is up to the extension to decide whether OK to specify the same custom namespace more than once per instance of the V3Restrict proto. - Unrecorgniazed (in |V3RestrictsConfig.custom_restrict_namespace_configs|) and unregistered (in factory function registry) custom namespace name will fail dataset loading (instead of being ignored silently). See go/scam-restrict-plugin for more details.
  • namespaces (type: list(GoogleApi.ContentWarehouse.V1.Model.ResearchScamTokenNamespace.t), default: nil) - A repeating field, where each entry specifies the set of tokens, within a single namespace, that apply to the query, or database point, on which this V3Restrict proto is defined. Explicitly specifying a namespace with 0 tokens is identical to omitting that namespace. ie, "{ns:}" == "". It is an error to specify the same namespace more than once per instance of the V3Restrict proto.
  • numericNamespaces (type: list(GoogleApi.ContentWarehouse.V1.Model.ResearchScamNumericRestrictNamespace.t), default: nil) - This field allows restricts to be based on numeric comparisons rather than categorical tokens. HINT: To allow a range of values in a namespace (e.g. 42 <= x < 128), specify the same namespace twice in the query, e.g.: {namespace: "x" op: LESS value_int: 128 } {namespace: "x" op: GREATER_EQUAL value_int: 42 }

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.ResearchScamV3Restrict{
  customNamespaces:
    [
      GoogleApi.ContentWarehouse.V1.Model.ResearchScamCustomRestrictNamespace.t()
    ]
    | nil,
  namespaces:
    [GoogleApi.ContentWarehouse.V1.Model.ResearchScamTokenNamespace.t()] | nil,
  numericNamespaces:
    [
      GoogleApi.ContentWarehouse.V1.Model.ResearchScamNumericRestrictNamespace.t()
    ]
    | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.