Resolving Underperforming Queries with Query Rewriting Jobs

Resolving Underperforming Queries with Query Rewriting Jobs

How many times have you analyzed customer queries and realized they misspell common words or search phrases without quotation marks? Learn about four jobs in Fusion that each play a specific role in solving some of these common situations: Misspelling Detection, Phrase Extraction, Synonym Detection, and Head/Tail Analysis.

About this course

How many times have you analyzed customer queries and realized they misspell common words? What about search phrases without quotation marks? Used vocabulary that doesn’t necessarily match your catalog? Assumed that a hyper-specific search would return exactly what they were looking for? Learn about four jobs in Fusion that each play a specific role in solving some of these common situations: Misspelling Detection, Phrase Extraction, Synonym Detection, and Head/Tail Analysis. Our journey will explore applying query rewriting strategies to effectively create jobs that convert underperforming queries and thus improve relevancy.

Goal: Fusion users will be able to apply query rewriting strategies effectively to create jobs that improve their search relevancy and underperforming queries.

Course Checkpoints:

  • Identify query rewrite jobs and common characteristics associated with them
  • Conceptualize the value and output of these jobs and recall job parameters and fine-tuning options
  • Recognize how to clean up query rewrite jobs
  • Analyze signal data to compose common themes

Before starting this course

Required Prerequisites: None!

What you should know: Experience with Fusion’s query rewriting strategies is necessary in order to be successful in this course. If you are brand new to Fusion or are unfamiliar with its basic components, take our Query Rewriting with Business Rules and search Rewrites eLearning first prior to completing this course.

Duration: ~50 minutes 

Curriculum60 Minutes

  • Resolving Underperforming Queries with Query Rewriting Jobs
  • Knowledge Check
  • Lexicon
  • Course Feedback
  • Downloadable Content
  • Clean-up Job Files
  • Keywords/Stopwords Files

About this course

How many times have you analyzed customer queries and realized they misspell common words? What about search phrases without quotation marks? Used vocabulary that doesn’t necessarily match your catalog? Assumed that a hyper-specific search would return exactly what they were looking for? Learn about four jobs in Fusion that each play a specific role in solving some of these common situations: Misspelling Detection, Phrase Extraction, Synonym Detection, and Head/Tail Analysis. Our journey will explore applying query rewriting strategies to effectively create jobs that convert underperforming queries and thus improve relevancy.

Goal: Fusion users will be able to apply query rewriting strategies effectively to create jobs that improve their search relevancy and underperforming queries.

Course Checkpoints:

  • Identify query rewrite jobs and common characteristics associated with them
  • Conceptualize the value and output of these jobs and recall job parameters and fine-tuning options
  • Recognize how to clean up query rewrite jobs
  • Analyze signal data to compose common themes

Before starting this course

Required Prerequisites: None!

What you should know: Experience with Fusion’s query rewriting strategies is necessary in order to be successful in this course. If you are brand new to Fusion or are unfamiliar with its basic components, take our Query Rewriting with Business Rules and search Rewrites eLearning first prior to completing this course.

Duration: ~50 minutes 

Curriculum60 Minutes

  • Resolving Underperforming Queries with Query Rewriting Jobs
  • Knowledge Check
  • Lexicon
  • Course Feedback
  • Downloadable Content
  • Clean-up Job Files
  • Keywords/Stopwords Files