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| Show HN: 40k HN comments mentioning books, extracted using deep learning (hacker-recommended-books.vercel.app) | ||
| recommended by 3 users | 2021 | 1359 points by tracyhenry | hn tools | original thread | | ||
| 3 users recommended this thread. What they said: |
| __rito__ Oct 4, 2023 | on: Extracting Hacker News Book Recommendations with the… | context |
|
FrankyHollywood Oct 4, 2023 | on: Extracting Hacker News Book Recommendations with the… | context
https://news.ycombinator.com/item?id=28595967 ("Show HN: 40k HN comments mentioning books, extracted using deep learning") is great, I still regularly use it! |
|
duckmysick Sep 27, 2021 | on: Show HN: Find Reddit discussion threads for your TV shows | context
How did you select the subreddits? Most seem to match. I found that The Last Airbender: The Legend Of Korra has /r/Korra with 1.7k subscribers, but there's also /r/legendofkorra with 200k subscribers and more rewatch threads. > My regexes grew gnarly from occasional tweaks, so I ripped it all out and changed up my process a bit. Are you still using regex? There was a thread recently about collecting book recommendations from HN comments [1]. The app creator used deep learning and fine-tuned a BERT model with their own data. The results were impressive and I think it could work with unstructured data like yours too. I don't know what's your stack, but anything with Named Entity Recognition (NER) would be a good start. I really like the lists you compiled. Bookmarked. |
| Also recommended by people who recommended this: | ||
| 1. | Ask HN: What's Your Biggest Regret? | |
| recommended by 2 users | 2022 | 260 points by xupybd | original thread | | ||
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| recommended by 3 users | 2018 | 1665 points by csdrane | original thread | | ||
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| recommended by 3 users | 2020 | 603 points by Eugeleo | original thread | | ||
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| recommended by 2 users | 2020 | 486 points by joshlk | original thread | | ||
| 5. | What 4chan thinks of HN (rbt.asia) | |
| recommended by 3 users | 2013 | 942 points by spiznnx | original thread | | ||
| 6. | What I’ve Learned in 45 Years in the Software Industry (bti360.com) | |
| recommended by 1 user | 2021 | 1270 points by FauxDemure | original thread | | ||
I found Hacker Recommended Books [0a] on HN [0b], and began reading through the books on it, tried many books, read around 20 of them. The experience has been great, and learned many new things. Some books have expanded my mind.
If you are into books, I highly recommend searching HN with the simple keyword "books", and filter using "Ask HN" tags [1], or simply by "books". This is how I choose almost all of my English books now (I am trilingual and can read more languages)- even non-technical books. I have been doing this for more than two years, and I really like HN for books recommendations.
Many years' worth of high quality reads can be found on HN threads related to books. They are goldmines.
EDIT: There is also Hacker News Books [2]. Check out their Top Books of All Time section [3].
[0a]: https://hacker-recommended-books.vercel.app/category/0/all-t...
[0b]: https://news.ycombinator.com/item?id=28595967
[1]: https://hn.algolia.com/?q=Ask+HN+books
[2]:https://hackernewsbooks.com
[3]: https://hackernewsbooks.com/top-books-on-hacker-news