Suggestions

The dydu engine makes suggestions based on misunderstood user sentences. These suggestions are proposals for formulations suggested automatically by the engine according to multiple criteria: proximity to existing knowledge, collective intelligence, mutual proximity to misunderstood sentences and emerging grammar.

Go to the Learning > Suggestions page.

For each suggestion, you can:

• Associate the formulation if you consider it is consistent with the suggested content;

• Invalidate the formulation if you believe it is inconsistent with the suggested content;

• Ignore the formulation.

In the summary tab you will find a summary of the number of suggestions that have been associated, invalidated and ignored. From this summary you can also activate automatic learning.

To find out more about the summary of suggestions and automatic learning click here.

It is possible to filter the suggestions according to certain criteria. Filters are different techniques for making suggestions:

• adding a formulation to a knowledge or

• adding a group of formulations to a formulation

Suggestion filters available:

Covers 10 out of 10 matches

• The software suggests adding formulations to existing knowledge.

• These suggestions are only based on questions that have been reformulated by the bot.

• Meaning of the filter: among the matching results to the question: the first 10 formulations that have been matched come from the same knowledge.

• The engine therefore suggests that you add this question as a formulation of the knowledge.

Covers 9 out of 10 matches

• The software suggests adding formulations to existing knowledge.

• These suggestions are only based on questions that have been reformulated by the bot.

• Meaning of the filter: among the matching results for the question: the first 9 formulations that have been matched come from the same knowledge.

• The engine therefore suggests that you add this question as a formulation of the knowledge.

Covers 8 out of 10 matches

• The software suggests adding formulations to existing knowledge.

• These suggestions are only based on questions that have been rephrased by the bot.

• Meaning of the filter: Among the matching results to the question: the first 9 formulations that have been matched come from the same knowledge.

  • The engine therefore suggests that you add this question as a formulation of the knowledge.

Clicked reformulations

• The software suggests adding formulations to existing knowledge.

• These suggestions are only based on questions that have been reformulated by the bot.

• Meaning of the filter: among the reformulations proposed by the bot to the user's question, the user has clicked on this knowledge. The user's original question is therefore relevant to be added as a formulation of the clicked knowledge.

Group

• The software suggests adding one or more groups of formulations to complete the knowledge formulations.

Group reformulation

• The software suggests adding groups of formulations to the main knowledge reformulation sentence.

• These suggestions are made only on the main reformulation sentence of the knowledge.

Covers 10 out of 10 matches and clicked reformulation

• The software suggests adding formulations to existing knowledge.

• These suggestions are only based on questions that have been reformulated by the bot.

• Meaning of the filter: among the reformulations proposed by the bot to the user's question, the user has clicked on this knowledge AND among the matching results to the user's question: the first 10 formulations that have been matched come from this knowledge.

• The engine therefore suggests that you add this question as a formulation of the knowledge.

Covers 9 out of 10 matches and clicked reformulations

• The software suggests adding formulations to existing knowledge.

• These suggestions are only based on questions that have been reformulated by the bot.

• Meaning of the filter: among the reformulations proposed by the bot to the user's question, the user has clicked on this knowledge AND among the matching results to the user's question: the first 9 formulations that have been matched come from this knowledge.

• The engine therefore suggests that you add this question as a formulation of the knowledge.

Covers 8 out of 10 matches and clicked reformulations

• The software suggests adding formulations to existing knowledge.

• These suggestions are only based on questions that have been reformulated by the bot.

• Meaning of the filter: among the reformulations proposed by the bot to the user's question, the user has clicked on this knowledge AND among the matching results to the user's question: the first 8 formulations that have been matched come from this knowledge.

• The engine therefore suggests that you add this question as a formulation of the knowledge.

Display

It is possible to display the list of suggestions:

• By source :

  • The suggestions are displayed according to the source. This source corresponds to the selected filter. The suggestions are displayed in the following order: first the selected filter then the knowledge.

• By knowledge :

  • The suggestions are displayed by knowledge. The suggestions are displayed in the following order: first the knowledge then the source (the source corresponds to the selected filter).

Summary

The summary is a table showing you, by filter :

• the number of suggestions to be validated,

• the % and number of suggestions that have been associated,

• the % and number of suggestions that have been invalidated,

• the number of suggestions that were ignored,

• the total number of suggestions.

The summary allows you to judge the performance of the suggestions made by the dydu engine. You can choose to activate the automatic learning of the bot for suggestions made on the basis of the following filters:

• Covers 10 matches out of 10 and reformulation clicked,

• Covers 9 out of 10 matches and rephrasing clicked,

• Covers 8 out of 10 matches and rephrase clicked.

Enabling machine learning will allow the engine to automatically add to your knowledge formulations that meet the criteria of the filters for which machine learning is enabled.