Finally, the model can be used to get solution recommendations for new service requests.
Select the request Recommend Solution
. Open the Body
tab to see the service request message that will be sent to the service. Click Send to get solution recommendations for this service request. The prediction results contain similar historical article recommendations and the details datasource
and article_id
. You can map article_id
back to the content of the historical data that you have parsed in for the training process.
The request and response look as follows:

This is the full prediction:
{
"results": [
{
"detected_language": "en",
"id": 2001,
"recommendation": [
{
"score": 1.0,
"solutions": [
{
"field": "datasource",
"value": "jam"
},
{
"field": "article_id",
"value": "405639"
}
]
},
{
"score": 1.0,
"solutions": [
{
"field": "datasource",
"value": "jam"
},
{
"field": "article_id",
"value": "405352"
}
]
},
{
"score": 1.0,
"solutions": [
{
"field": "datasource",
"value": "mindtouch"
},
{
"field": "article_id",
"value": "406961"
}
]
},
{
"score": 1.0,
"solutions": [
{
"field": "datasource",
"value": "mindtouch"
},
{
"field": "article_id",
"value": "405980"
}
]
},
{
"score": 1.0,
"solutions":[
{
"field": "datasource",
"value": "jam"
},
{
"field": "article_id",
"value": "407027"
}
]
},
{
"score": 0.5,
"solutions": [
{
"field": "datasource",
"value": "jam"
},
{
"field": "article_id",
"value": "406000"
}
]
},
{
"score": 0.5,
"solutions":[
{
"field": "datasource",
"value": "mindtouch"
},
{
"field": "article_id",
"value": "405727"
}
]
},
{
"score": 0.5,
"solutions": [
{
"field": "datasource",
"value": "jam"
},
{
"field": "article_id",
"value": "407386"
}
]
},
{
"score": 0.5,
"solutions": [
{
"field": "datasource",
"value": "jam"
},
{
"field": "article_id",
"value": "407725"
}
]
},
{
"score": 0.5,
"solutions": [
{
"field": "datasource",
"value": "jam"
},
{
"field": "article_id",
"value": "405552"
}
]
}
],
"status": 0,
"status_message": "ok"
}
]
}
You can also try out the other POST /Recommend
requests.
You have now successfully used Service Ticket Intelligence to get solution recommendations for new service requests.