KnowledgeAnswersIntentQueryIndexingIQLAttachment

AI Overview😉

  • The potential purpose of this module is to analyze and index web pages based on their intent and relevance to specific queries, using a combination of natural language processing (NLP) and machine learning algorithms. It appears to be a part of Google's Knowledge Graph and is designed to improve the accuracy and relevance of search results.
  • This module could impact search results by allowing Google to better understand the context and intent behind a user's query, and to return more relevant and accurate results. It may also enable Google to provide more personalized and targeted results, based on the user's search history and preferences. Additionally, it could help to reduce the number of irrelevant or low-quality results that are returned for a given query.
  • A website may change things to be more favorable for this function by optimizing their content to clearly convey the intent and relevance of their pages, using techniques such as semantic markup, entity-based optimization, and natural language processing. They may also want to ensure that their website is easily crawlable and indexable by Google's algorithms, and that they are providing high-quality and relevant content that aligns with the user's search intent.

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

Mustang/Kgraph attachment to encode IQL expressions annotated by Webref, Pianno, and other applications. This is currently a prototype implementation. The attachment is not yet output in production. Please contact simonz@ for more info. The planned use-cases include: - Pianno page-level intents (go/pianno-design). - Compound entity representations (go/compounds-in-refx). See go/iql-in-wma for more details about IQL attachment and its encoding design. Next available tag: 5

Attributes

  • iqlEncodingVersion (type: integer(), default: nil) - The version of encoder for the IQL FunctionCalls. We bump up the version when, but not limited to, we change how an IQL is converted to a byte array, or the change of byte compression algorithm.
  • iqlFuncalls (type: String.t, default: nil) - A compressed byte array that represents IQL FunctionCalls. A list of IQL FunctionCalls are first encoded as a byte array. The byte array is then compressed. For more details on the encoding, see go/iql-in-wma.
  • piannoConfidenceScoreE2 (type: list(integer()), default: nil) - The Pianno confidence scores of all intents of the IQL FunctionCalls. For space reasons this is stored as a [0, 100] integer that represents the confidence up to two decimal points (fixed point). Convert it to confidence_score using the following formula: float pianno_confidence_score = pianno_confidence_score_e2 / 100.0f It should have the same number of elements as the IQL expressions after decoding. For non-Pianno top level intents, this score is 0.
  • piannoIqlBitmap (type: list(integer()), default: nil) - A bit map indicating if the intents in the IQL FunctionCalls are top level intents for Pianno (go/pianno). This is a repeated field. In the event of more than 32 intents, the first uint32/ represents the 1st to the 32nd intents, and the second uint32 represents/ the 33rd to the 64th intents, and so on. Within each uint32, the bits are in reversed order, i.e. the right-most bit of the first uint32 indicating if the first intent in IQL expressions is a top level intent for Pianno. The prevailing (unused) bits of the last uint32 are filled with 0s.

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.KnowledgeAnswersIntentQueryIndexingIQLAttachment{
    iqlEncodingVersion: integer() | nil,
    iqlFuncalls: String.t() | nil,
    piannoConfidenceScoreE2: [integer()] | nil,
    piannoIqlBitmap: [integer()] | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.