Implement calculation of matching score

[numbleroot]

Implement a function that calculates the matching score between an offer and a request and stores its result into a database table consisting of the fields: | regionID | offerID | requestID | matchingScore |

This function is supposed to work like described here (German!).

This issue probably breaks down into following parts:

• Creating a function that:
  • Accepts an offer and a request
  • In a goroutine: Calculates the tags similarity
  • In a goroutine: Calculates the similarity of the two free text description fields utilizing yet to be defined NLP algorithms
  • In a goroutine: Calculates the distance factor
  • Calculate final score
  • Save it to database
• Add triggers to call this function every time an offer or a request is created, updated (, removed?) or a matching is created or denied and other locations this score has to be (re)calculated
• Alter existing JSON returns to include a matching score per object and sort the return list by descending score

Maybe it might make sense to define this function on a Region struct.

Part of #96

[numbleroot]

Status:

• Add MatchingScore table like above
• Creating a function that:
  • Accepts an offer and a request
  • In a goroutine: Calculates the tags similarity
  • In a goroutine: Calculates the similarity of the two free text description fields utilizing yet to be defined NLP algorithms
  • In a goroutine: Calculates the distance factor
  • Calculate final score
  • Save it to database
• Add triggers to call this function every time an offer or a request is created, updated (, removed?) or a matching is created or denied and other locations this score has to be (re)calculated
• Alter existing JSON returns to include a matching score per object and sort the return list by descending score

[numbleroot]

Possibility for NLP technique: Technology discussion thread.