Actonomy xMP – Analyse, Search, Match
The ultimate solution for semantic searching and matching. Actonomy xMP helps you search and match candidates at an unparalleled quality level. This software is based on human and artificial intelligence and delivers quick and meaningful ranked matching results.
Actonomy xMP is the best solution on the market when it comes to searching natural language text (such as CV’s and job postings), context-sensitive and implicit search in both structured and unstructured data, resulting in ultra-rich input, going far beyond traditional keyword searching and matching.
The user can define his query criteria, through a very user-friendly interface.
In short: Actonomy xMP is the best searching and matching engine currently on the market.
Better matches
Because of a better understanding of resumes, cvs and search queries30% More matches
Let’s search further than keywords by understanding needs and requirementsGain insights
Understand why some results are ranked higher than othersSave time
Find the candidates you’re looking for faster than ever beforeCurrent and Future Skills
Learn and detect new skills as these become a new job requirementLearn new hard and soft skills
Continuous learning new skills and competences
How it works
Step 1: Data input
Start with uploading resumes or simply enter search queries
All knowledge starts with text input from the user. Any kind of input is possible, both resumes and job profiles and search requests.
Step 2: Text extraction & understanding
What does your input actually mean
Now, the uploaded texts are analyzed. The meaning of the words and concepts is analyzed by applying deep semantic knowledge and artificial intelligence.
Step 3: The ontology or knowledge database
Updating from and to the ontology
All meanings, concepts, content are now added from the ontology and input is used to continuously expand the knowledge database.
Step 4: Enrichment & classification
How can we broaden the query and make it easy to retrieve
Meaning is added, words and concepts are classified in categories of concepts. By broadening the query, the system makes it easier to retrieve.
Step 5: Custom configuration of enriched data
Adjust the filters and settings to your needs
Actonomy’s matching is not based on a fixed model but can easily include the client specific requirements of how to recruit.
Step 6: AI reasoning & matching
Connecting the dots
Once the deep understanding of meaning is set in place, the system will match CV’s and job profiles based on algorithms and customer specific settings.
Step 7: Ranked, meaningful output
To be used in your everyday work
The output of the xMP-engine is a list of best matches. Every match gets a ranking and an explanation of why and how the match was calculated, allowing you to backtrace the reasoning behind the match.
