Our NLP engine and ML technology are based on used to recognize the intent recognition principle. Meaning that every of every user query. Each user query is first assessed by our engine and, ; depending on what intent is triggeredrecognized, the chatbot will behave behaves accordingly. There are few basics basic intents that our chatbot can recognize:
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In the case of Find Job intent, we recognize two basic entities: Profession (job category or type) and Location (can be city or country). In both cases we are able to create global synonyms, meaning they which will impact all chatbots using that certain language. Those synonyms will allow your users to look through your jobfeed using names of locations and professions that maybe not correspond exactly to the way you have phrased them on your side.
Example: In your jobfeed you have New York City as location. But your users may not use the word “New York“ York City“ while looking for the job positions in that city. “Work in Big Apple“New York“, “I am looking for a Marketing position in NYC“ or “Do you have open positions in NY?“ all are valid search requests so from our end we , and global synonyms can make sure that New York is synonymous with Big AppleCity is understood when New York, NYC, and or NY are given.
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Those These synonyms are not adjusted on a customer level and can be only influenced , and are rather managed by the jobpal team. If you can see any notice synonyms missing, please reach out to us and we are happy to consider adding it (if it will not have any negative impact for all the on other chatbots). |