- Capabilities for Salesforce Communities
- Coveo for Sitecore
- Optimal Model Data Period
- Model Training Frequency Change
- Model Restrainment
- Tests Before Activation
- Supported Languages
- Secured Salesforce Communities
- Relevance Improvement Time
- Impact Measurement
- ART and Service Cloud
- Automatic Relevance Tuning Function
- First Returned Results and False Promotion
- Coveo UA Enabled Simultuneously
- Coveo On-Premises
How Does ART Ensure the First Results Are Not Falsely Promoted by Users Clicking Them Solely Because They Are the First Results?
ART evaluates user visits as a whole and allocates additional weight (i.e., gives a higher score) to the last clicked item rather than the previously opened items.
A user performs a query and inspects the returned results:
The user clicks the top 2 items, but these do not answer their inquiry.
The user clicks the three following results, and then closes the search page.
ART assumes the fifth result is the best result (i.e., answer the user inquiry) since the click on this result is the last user action associated with the search event.
As the ART model is rebuilt over time, the fifth result climbs the result list based on the additional weight acquired from being the last opened item.
ART boosts 5 results to make sure that results 5 to 10 are based on standard index-ranking, thus allowing those results to move up in the result list.
To boost results, ART does not simply use the result popularity, but takes several other factors into account to also prevent positional bias (also know as high ranking result bias).