Closed Hagar-Usama closed 2 months ago
Hi Hagar,
The output of the service return all matching documents. So if you want to match between a collection of 2 documents, this is the service that is most appropriate
The result matches every record in the source (documents
) with the multiple target (matchWith
). This is a good test to run locally. And to visualize the result, you can add this print statement at the end
result.entrySet().forEach(entry -> {
System.out.println("Key: " + entry.getKey().getKey());
entry.getValue().forEach(match -> {
System.out.println("Data: " + match.getData() + " Matched With: " + match.getMatchedWith() + " Score: " + match.getScore().getResult());
});
});
So the total score of a document rely on the matching elements. At an Element
level there is no key, but all elements of the same ElementType
undergo match comparisons.
This comparison depends on how many tokens matched and this is represented by matchingCount
For example when matching these 2 element addresses 123 new st.
and 123 new Street
the tokens are broken down to each word, and we can see 2 tokens 123
and new
match.
But this is going into the internals of match algorithm. For most of the cases just using the key
at a Document
and the overall score
in Match
should suffice in finding similarities. If you can elaborate your use case with a few examples, that can help me understand what your are trying to solve.
Hello @manishobhatia,
Thank you for your prompt response.
My current flow is as the test you mentioned. However, I wish to take an extra step due to the business logic requirements.
In addition to displaying the matched rows along with their scores, it is necessary to indicate the degree of similarity for each field compared to the corresponding field in the matched rows.
For instance:
Match:
- Row1: Field 1: value1, Field 2: value2, Field 3: value3
- Row2: Field 1: value4, Field 2: value5, Field 3: value6
Match Score = 60%
Field-wise score:
- Field 1 --> Score (25%)
- Field 2 --> Score (10%)
- Field 3 --> Score (50%)
And thank you for letting me know that the comparison is based on elementType
rather than mapping elements. This will definitely help.
Hello 👋,
I've got a look at the code snippet provided in
Element
class:I'm doing matching between two Documents (Rows) and aiming to obtain the score for each element in the match. I presume each document contains only one document match, which has the highest matching score (row-wise).
I primarily encounter two issues:
matchingCount
represent? I would appreciate any examples.Thank you.