kuboris
Joined 11 years ago
Joined 11 years ago
1. Execute the crime
2. Laugh and brag
3. Realize the catastrophe
4. Change the story and blame others
On HackerNews someone gave a plausible explanation for the timestamps: They are regenerated when you download the PDF with the result.
This explains the inconsistencies in the timestamps – but not in the confirmation codes – because they remain the same.
And the inconsistencies also exists in them. The confirmation codes are ascending, so the result from the 16th should have a lower number than the one from 22nd. However, it is the other way around.
I'm in the process of adding Goodreads and other book websites to get better suggestions.(Using Amazon API is limiting on scale)
As for your question: I've been researching python natural language processing to get probable named entities and check them against Amazon API. I suggest https://spacy.io that has reasonable named entities extraction. However doing it at a scale might produce lot of books that are named as a common phrases.