Matching contexts – Docebo Help & Support

Matching Contexts for Career Opportunities

When a profile or opportunity is edited, the time for the changes to be reflected in the different matching contexts can vary from 2 hours to 24 hours.

Skills matching

For this context, there is a match if:

The estimated seniority of the opportunity corresponds to the estimated seniority of the employee
The opportunity requires at least 40% of skills that are either part of the skills declared by the employee or the skills presumed by the AI on their profile.

If the employee has declared a version of a skill on their profile, then it is counted in the same way as if it were a top skill.

Opportunities are sorted by decreasing relevance in the section. This relevance is defined by:

The number of skills common to the employee's skills,
The fact that these common skills are declared by the employee, rather than presumed on their profile
The fact that these common skills are part of the employee's professional interests
Whether these skills are considered major skills (either manually or by AI)

Matching on current professional experience

For this context, there is a match if the title of the opportunity is similar to the current professional experience declared on the employee's profile.

Opportunities are sorted by decreasing relevance within the section. This relevance is defined by the semantic proximity score defined by the AI.

Matching on professional interests

For this context, there is a match if at least two of the skills useful for the opportunity are part of the professional interests declared by the employee.

If the employee has declared a version of a skill as a professional interest on their profile, then it is counted in the same way as if it were a top skill.

Opportunities are sorted by decreasing relevance in the section. This relevance is defined by:

The number of skills belonging to the employee's professional interests
Whether these skills are considered major skills (either manually defined or by AI)
The fact that there are, in parallel with professional interests, declared or presumed skills on the employee's profile

Matching on popular opportunities among employees whose job is similar to that of the employee.

This context does not take into account any reasons for refusal expressed by the employee. This context contains up to 12 matches maximum.

For this context, there is a match if, among other employees whose job is close or identical to that of the employee, the opportunity is popular. This popularity is measured via the number of positive feedbacks given on the opportunity, as well as via the number of clicks on the redirection link to the ATS (i.e. the url associated with the opportunity)

Groups of employees whose profession is similar or identical are defined:

Either by attaching employees to the same job description
Either through our job matching algorithm, based on the employee's current experience.

Opportunities are sorted by decreasing relevance in the section. This relevance is defined by the total number of feedbacks and clicks on the redirection link, by this population, for each of the opportunities.

Matching on opportunities close to those that interest the employee

For this context, there is a match if the title of the opportunity is semantically close to the title of other opportunities for which the employee has expressed interest, i.e. opportunities for which the employee has given positive feedback or from which he has clicked on the redirection link to the ATS.

Opportunities are sorted by decreasing relevance in the section. This relevance is defined by the level of similarity between the suggested opportunity and the source opportunity.

Matching Contexts for Training Opportunities

The first thing to know is that, for training, AI doesn't extract skills to generate the matching.

However, if you have manually associated skills with your trainings, they will be useful in improving the quality of the suggestions.

Here is the new operation.

Training to improve your professional skills

This context is displayed if the employee has been linked to their job description, via the jobs framework.

This context works in two stages.

First of all, the employee is offered the list of skills linked to their job description, allowing them to click on the skill of their choice.

Then, for each skill, we propose a list of associated training courses, like a search engine result: each time, the AI will analyze the contents of all the training courses — i.e. the title, the description, and any associated skills (if they have been approved) — to search for this basic skill.

If the training contains a version of one of the skills sought, this will be taken into account in the same way.

For this context, there is a match if the skill (or its version) is present in a sufficiently strong way for the AI to consider that it is a skill actually developed thanks to this training.

Opportunities are sorted by decreasing relevance in the section.

This relevance is defined by:

The location where the skill was found within the training.A presence in the skills has more weight than a presence in the title, which itself has more weight than a presence in the description.
The ratio between occurrences of mentions of the skill in the training, and occurrences of mentions of the skill in all training. This system makes it possible to neutralize any skills that are too generic, to improve the AI's understanding of the skills actually developed by the training.

Training to improve on your development wishes

This context is displayed if the employee has declared at least one development wish on their profile

This context works in two stages.

First, the employee is offered a list of his or her stated development wishes. If he or she has stated more than 12, he or she is offered a list of the 12 most recently stated development wishes.

Then for each skill declared as a development wish, we propose a list of associated training courses, like a search engine result: each time, the AI will analyze the contents of all the training courses, i.e. the title, the description, and any associated skills; to search for this basic skill.

If the training contains a head in another language of one of the skills sought, this will be taken into account in the same way.

For this context, there is a match if the skill (or its version) is present in a sufficiently strong way for the AI to consider that it is a skill actually developed thanks to this training.

Opportunities are sorted by decreasing relevance in the section. This relevance is defined by:

Where the skill was found within the training. A presence in the skills has more weight than a presence in the title, which itself has more weight than a presence in the title.
The ratio between occurrences of mentions of the skill in the training, and occurrences of mentions of the skill in all training. This system makes it possible to neutralize any skills that are too generic, to improve the AI's understanding of the skills actually developed by the training.

Training to improve skills useful for career opportunities that interest us

This context can be displayed if the employee has already expressed interest in at least one career opportunity (open position, job description and/or mission), i.e. if he has already given positive feedback and / or clicked on the ATS redirect link for at least one of these opportunities.

This context works in two stages.

First, the AI will analyze all the career opportunities favored by the employee, to extract up to 12 skills whose development would be most useful for the employee (This list is defined via the recurrence of skills in opportunities, and via the declared or validated level of the employee for each of the skills)

Then for each skill, we propose a list of associated training courses, like a search engine result: each time, the AI will analyze the contents of all the training courses, that is to say the title, description, and any associated skills; to search for this basic skill.

If the training contains a version of one of the skills sought, this will be taken into account in the same way.

For this context, there is a match if the skill (or its version) is present in a sufficiently strong way for the AI to consider that it is a skill actually developed thanks to this training.

Opportunities are sorted by decreasing relevance in the section. This relevance is defined by:

The location where the skill was found within the training. A presence in the skills has more weight than a presence in the title, which itself has more weight than a presence in the title.
The ratio between occurrences of mentions of the skill in the training, and occurrences of mentions of the skill in all training. This system makes it possible to neutralize any skills that are too generic, to improve the AI's understanding of the skills actually developed through training.

The most popular training courses within the organization

⚠️ This context does not take into account any reasons for refusal expressed by the employee. This context contains up to 12 matches maximum

For this context, there is a match if, among all the other employees of the organization, the training is popular. This popularity is measured via the number of positive feedbacks given on the opportunity, as well as via the number of clicks on the redirection link to the ATS (i.e. the url associated with the opportunity)

Groups of employees whose profession is similar or identical are defined:

Either by attaching employees to the same job description
Either through our job matching algorithm, based on the employee's current experience.

Popular training courses among employees whose job is similar to that of the employee

This context does not take into account any reasons for refusal expressed by the employee. This context contains up to 12 matches maximum

For this context, there is a match if, among other employees whose job is close or identical to that of the employee, the training is popular. This popularity is measured via the number of positive feedbacks given on the opportunity, as well as via the number of clicks on the redirection link to the ATS (i.e. the url associated with the opportunity)

Groups of employees whose profession is similar or identical are defined:

Either by attaching employees to the same job description
Either through our job matching algorithm, based on the employee's current experience.