With PAQATO, online retailers offer their customers an outstanding shopping experience after the checkout and ensure maximum satisfaction. Personalized shipping notifications and a tracking page in their own store turn customers into loyal fans. Through proactive multi-channel communication, online stores exploit cross-selling potential during the shipping process and collect strong customer reviews. At the same time, smart shipment controlling allows online retailers to maintain a full overview of their shipping processes and reduce their service costs with transparent data. Today, over 1,000 e-commerce companies such as OTTO, Peek & Cloppenburg, ROSE Bikes and KoRo are already delighting their customers with outstanding after-sales experiences.
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Based on our record, FuzzyWuzzy seems to be more popular. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Do fuzzy matching (something like fuzzywuzzy maybe) to see if the the words line up (allowing for wrong words). You'll need to work out how to use scoring to work out how well aligned the two lists are. Source: over 1 year ago
Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is 貴方がこれまでに得てきた力、存分に発揮してくださいね。) You can do a regional search using the initial scene data (E60) first, and if the confidence is low, go for a slower full search. Source: over 1 year ago
It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: almost 2 years ago
You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy. Source: over 2 years ago
To deal with comparing the string, I found FuzzyWuzzy ratio function that is returning a score of how much the strings are similar from 0-100. Source: over 2 years ago
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