Search and Relevance
- Hive UI Framework
- Legacy Search UI Framework
- Using a Query Pipeline
- Altering Search Results Before They Are Displayed in a Search Interface
- Displaying External Content in a Search Interface
- Using Analytics
- Getting Started with Coveo Machine Learning
- Using Sitecore Personalization with Coveo
- Query Performance Leading Practices
- Understanding How to Leverage Virtual Users With Coveo
- Using LINQ to Customize Queries
Getting Started With Coveo Machine Learning in Sitecore
One of the many advantages of using a Pro or Enterprise Cloud edition of Coveo for Sitecore is the possibility to use Coveo™ Machine Learning (Coveo ML). Coveo ML is a powerful analytics-based machine learning service that continuously analyzes search behavior patterns by leveraging the Usage Analytics to determine what are the most relevant items related to any given query. Coveo ML can also provides proactive query recommendations to your users which you can place either on a search page or anywhere on your website where recommendations are useful.
Enabling Coveo Machine Learning in your Coveo Cloud Organization
By default, when you install Coveo for Sitecore, query suggestions (see Query Suggestions Feature) are already active in your Coveo Cloud organization. It will start learning right away from the analytics data provided by the Coveo for Sitecore solution. You can also create a relevance tuning (see Automatic Relevance Tuning Feature) model to improve the default relevance of your solution, and a Recommendations model to offer relevant recommendations to users according to their search and visit profile (see Recommendations Feature).
These models are all created in the Coveo Cloud Query pipelines (see What Is a Query Pipeline?).
For the models to learn properly, you need to provide analytics data. If you do not have a high traffic on your search pages, the models will keep building until there is enough data.
Using Coveo Machine Learning in Coveo for Sitecore Hive
Once the Machine Learning models have been created in the Coveo Cloud organization, the output can be leveraged in the Coveo for Sitecore Hive framework.
Automatic Relevance Tuning.
Automatic Relevance Tuning is applied in a Coveo search interface to reorder results based on their popularity. See Using Automatic Relevance Tuning in Coveo for Sitecore for a step-by-step guide on how to enable it in Coveo for Sitecore Hive.
Query Suggestions will provide a type-ahead experience to users typing in a Coveo Search Box. The suggested content is based on successfull queries performed by past users. See Providing Coveo Machine Learning Based Suggestions for a step-by-step guide on how to enable them in Coveo for Sitecore Hive.
Content recommendations can be used to recommend article, products and other related content to your users. The recommendations are provided by the machine learning model based on past users behavior. See Getting Recommendations for a step-by-step guide on how to enable them in Coveo for Sitecore Hive.