Comments (5)
Hi Ranjith,
Yes, fuzzy-matcher is ideal for this type of matching records. Each of the properties can be configured as an Element with its relevant type and you should be able to get scores between the 2 records.
Here are some suggested Element type for each property you mentioned
- invoice-number : Use
TEXT
(Assuming this is just alpha-numeric value. ) - invoice-amount: Use
NUMBER
. This is ideal for currency or money values, where there could be small differences in rounding - customer-name: Use
NAME
. This can help where names occur with variation in first, middle and last names - invoice-date: Use
DATE
. This can also configurable to fuzziness if there is a difference in a few days between payment and invoice generation - customer-email: Use
EMAIL
. This can capture different email address, provided it shares similar characters generated from customers name.
Hope this helps
from fuzzy-matcher.
Regarding matching each payment with all the available invoices, that should be possible too.
See "Match a Document with Existing List" option in Match Service as your calling service, where document
is pointing to Payment and matchWith
is pointing to the list of invoices you have.
By default it will only give results if the match is above 0.5
from fuzzy-matcher.
Great. Can i also use multiple payments instead of single payment so performace can be improved. where i expect each payment to be compared with list of all the invoices and give the match score. Also can i increase the priority for some of the properties say invoice number and amount compared to others.
from fuzzy-matcher.
Using multiple payments is also possible.
Use this API for sending in a list of payments to be matched with another list of invoices
This should be more performant than the previous API
Increasing a priority of some properties is also possible. See Weight
in the Element Configuration to achieve this
from fuzzy-matcher.
Thank you for the update. let me try the library and get back if there are any questions.
from fuzzy-matcher.
Related Issues (20)
- Matching two strings HOT 4
- comparing two string with different dimension HOT 2
- Language Supported HOT 1
- Fuzzy matching issue : only fetching the exact match HOT 9
- Upgrade to Java 11 HOT 5
- Combine Tokenizers for better results HOT 2
- Phone number assumed to be a US number HOT 3
- Help HOT 1
- Kotlin not support HOT 2
- Name List matcher HOT 2
- Is there any way to create my own matchers? HOT 1
- SLF4J Failed to load HOT 3
- New Element Type for product names HOT 2
- upgrade commons-text to a non-vulnerable version HOT 2
- Though there is matching result but matcher is not returning. HOT 3
- How to use getScore in Element class? what is the matchingCount? HOT 2
- Questions HOT 1
- Cross-Language Fuzzy Matching: Arabic Document Matching returns 0 matches HOT 3
- Why Does Matching Fail in These Scenarios? HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from fuzzy-matcher.