KnowledgeAnswersIntentQueryParsingSignals

AI Overview😉

  • The potential purpose of this module is to analyze and understand the intent behind a user's search query, breaking it down into its constituent parts and identifying the key arguments and entities involved. This helps Google to better comprehend the user's question and provide more accurate and relevant search results.
  • This module could impact search results by influencing the ranking of pages based on how well they match the user's intended query. For example, if a page is highly relevant to the specific entities and arguments identified in the query, it may be boosted in the search results. Conversely, pages that don't align with the user's intent may be demoted.
  • To be more favorable for this function, a website could focus on creating content that is highly relevant to specific entities and arguments, using natural language and structures that are easily parseable by Google's algorithms. This could involve using clear and concise language, defining key terms and concepts, and creating content that is optimized for specific long-tail keywords and phrases. Additionally, websites could focus on improving their internal linking structures and entity disambiguation to help Google better understand the relationships between different concepts and entities on their site.

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

Parsing-related signals. Only horizontal signals should appear directly as fields on this message. Each domain should create their own extension for anything that they need to propagate down stream from AQUA. Note that this proto is not the same as the Superroot proto ParsingSignals (http://google3/knowledge/proto/scoring-signals.proto), which is a Superroot-specific signal used in Scoring. Next ID: 7

Attributes

  • calibratedParsingScore (type: float(), default: nil) - A parsing score that is independently calibrated by each parser/IG, used by pre-fulfillment ranker, see http://go/prefulfillment-ranker.
  • effectiveArgSpanLength (type: number(), default: nil) - The total effective length of the spans for the arguments used to construct the parse. May include vertical specific adjustments. Eg: For the query [delete my 7 p.m. alarm called chicken] and intent Delete_alarm(alarm_object=RD(category=AlarmObject( label="chicken", trigger_time_datetime=<< 7 PM >>))), the effective argument span is "7 p.m." + "chicken" (total length of 13).
  • inQueryMaxEffectiveArgSpanLength (type: number(), default: nil) - This is a cross-intent feature which is calculated by iterating all intent candidates. This feature should be populated in post-IG stage (before GB).
  • qrewriteCallPathInfoFingerprint (type: String.t, default: nil) - This proto holds the fingerprint of the call path info of QRewrite client (e.g. the QUS's phase like "RBT","QBT"; the QUS's candidate type like "Identity"; and the ACE's candidate type like "FuzzyMatcher").
  • source (type: String.t, default: nil) - The parser that calibrated the parsing score below.

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.KnowledgeAnswersIntentQueryParsingSignals{
    calibratedParsingScore: float() | nil,
    effectiveArgSpanLength: number() | nil,
    inQueryMaxEffectiveArgSpanLength: number() | nil,
    qrewriteCallPathInfoFingerprint: String.t() | nil,
    source: 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.