This page provides an overview of Squirro search functions and features.
Search is a core functionality of the Squirro platform and the foundation of Squirro Cognitive Search and the Squirro Insight Engine.
Typically, search features and settings are adjusted by the Project Creator.
To learn how to set up Squirro Cognitive Search, see How To Set Up a Cognitive Search Application.
UI Search Features#
See UI Search Features for information on the following features:
You can fine-tune your query term matching strategy to specify how user search terms are interpreted and translated.
Field boostings, default term matching configuration, and multi-word rescoring are examples of ways to achieve this.
To learn more about tuneable parameters, see How To Handle User Query Terms Correctly.
One of the best ways to create exceptional user search experiences is to customize relevancy scoring for your project.
You can adjust the default Relevancy Scoring Algorithm via domain-specific Scoring Profiles or by modifying the Search Term Matching Strategy.
For more information on relevancy, see Document Relevancy.
For a step-by-step guide to adjusting relevancy, see How to Use Scoring Profiles to Customize Document Relevancy Scoring.
For situations where project data contains similar content, but differs in structure, see How To Use Best-Bets Labels to Map Query Terms.
Query processing improves a user’s search experience by providing more relevant search results.
Query-processing workflows are modified by search engineers to fine-tune the search experience for users.
To learn more, see Query Processing.
Squirro can make item, entity, and label recommendations based on various types of inputs.
See Recommendations for further details.
To learn how project creators can use synonyms to improve search results, see Synonyms.