- Step 1: Installing Coveo for ServiceNow
- Step 2: Creating a ServiceNow Source
- Step 3: Planning for Query Pipelines
- Step 4: Replacing the Service Portal Search Page
- Step 5: Replacing the Service Portal Search Boxes
- Step 6: Configuring the Case Deflection Panel
- Step 7: Configuring the Insight Panel
- Step 8: Adding the Page View Tracker to Your Portal Pages
- Step 9: Configuring a Recommendations Panel
- Step 10: Configuring the Built-In Coveo-Powered Search Page
- Step 11: Configuring Query Filters
- Step 12: Adding Coveo for ServiceNow to the Virtual Agent
- Step 13: Configuring Machine Learning Models
Configuring Coveo Machine Learning Models
This article explains how a ServiceNow instance administrator or developer who has access to the Coveo Cloud organization linked to their instance can configure in their query pipelines linked to Coveo for ServiceNow widgets.
Configure Coveo ML Models
The Coveo for ServiceNow widgets automatically log Coveo Usage Analytics (Coveo UA) events. Once sufficient usage analytics data has been gathered, this data can be leveraged by Coveo Machine Learning models to provide highly relevant AI-powered recommendations.
You can create and then associate Coveo ML models to your query pipeline to ensure the most relevant content is always shown in your Coveo for ServiceNow widgets.
ART models use Intelligent Term Detection (ITD) to automatically refine queries with additional contextual information (e.g., important keywords from a large textual case description). They also ensure that items which are deemed highly relevant are included in the query result set and have a fairly high ranking score value, even if those items don’t actually match the original query.
QS models provide a list of relevant query completion suggestions as the end user is typing in a search box. They can also make the search-as-you-type feature more powerful and reliable.
Optionally, evaluate how well your Coveo ML models are performing before routing a larger part of queries to the query pipeline in which they’re defined. The Model Testing page provides a way to quickly test ART and QS models.
Alternatively, you can configure an A/B test to test your new query pipeline, which now contains your Coveo ML models, against the default, original query pipeline.
You may want to learn how to generate usage analytics reports to help you identify possible content gaps, discover how your Coveo for ServiceNow widgets are being used by your customers and support agents, etc. (see Usage Analytics Reports).