This page provides an overview of Squirro search 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.
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.
You can use query syntax within Squirro search bars to return better, more refined search results.
Squirro Cognitive Search offers a rich set of typeahead features. (External to Squirro, typeahead is sometimes referred to as predictive search, search as you type, incremental search, or real-time search suggestions.) )
This includes typeahead based on document features such as content, labels, and communities, and based on user interactions such as saved searches, search history, and popular queries.
For more information on typeahead, see Typeahead Suggestions.
Other People Ask#
Squirro logs and store project searches via Activity Monitoring. This stored information is used to provide typeahead suggestions to search end users in the form of Other People Ask suggestions.
This feature provides search suggestions that go beyond simple keyword matching and superficial similarity.
To learn more about Other People Ask, see Other People Ask?.
For a step-by-step guide to adjusting this feature, see How to Use The “Other People Ask” Feature.
This feature provides specific answers to search queries phrased as a question.
It does so by extracting answers as spans from contextual texts supplied together with the question.
To learn more about Question Answering, see Question Answering.
For a step-by-step guide to adjusting this feature, see How to use the “Question Answering” Feature.