ResearchScamTokenNamespace

Research SCAMSearch Infrastructure

GoogleApi.ContentWarehouse.V1.Model.ResearchScamTokenNamespace

3
out of 10
Low
SEO Impact
Unwrap a decoded JSON object into its complex fields.

SEO Analysis

AI Generated

Core search serving infrastructure. While not a direct ranking signal, these systems process and serve search results. This model (Research Scam Token Namespace) contains 7 attributes that define its data structure. Key functionality includes: If present, override |string_blacklist_tokens|.

Actionable Insights for SEOs

  • Understanding this model helps SEOs grasp Google's internal data architecture
  • Consider how this system might interact with other ranking signals

Attributes

7
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bytesBlocklistTokensstring
Default: nilFull type: list(String.t

If present, override |string_blacklist_tokens|.

bytesTokensstring
Default: nilFull type: list(String.t

If present, override |string_tokens|

namespacestring
Default: nilFull type: String.t

//////////////////////////////////////////////////////////////////////////// NAMESPACE - the string name of the namespace that this proto is specifying, such as "color", "shape", "geo", or "tags". Recall that your overall query is an AND across namespaces.

stringBlacklistTokensstring
Default: nilFull type: list(String.t

New use cases should prefer |bytes_tokens|, go/fast/11#bytes-vs-string When migrate, need to be consistent in both dataset and query.

stringTokensstring
Default: nilFull type: list(String.t

New use cases should prefer |bytes_tokens|, go/fast/11#bytes-vs-string When migrate, need to be consistent in both dataset and query.

uint64BlacklistTokensstring
Default: nilFull type: list(String.t

TODO(qhliao) rename to |uint64_blocklist_tokens| eventually.

uint64Tokensstring
Default: nilFull type: list(String.t