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Show HN: 可视化探索推荐 / 热门科幻书籍（及其他类型）

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Hi all, creator here 🙂
大家好，我是创作者 🙂

I launched Shepherd.com (https://shepherd.com/) on HN in 2021 and have added a ton since then! Here is the original Show HN (https://news.ycombinator.com/item?id=26871660).
我在 2021 年在 Hacker News 上发布了 Shepherd.com（https://shepherd.com/），并且从那时起添加了很多内容！这是最初的 Show HN（https://news.ycombinator.com/item?id=26871660）。

What did we add?  我们添加了什么？

We just shipped a monster update for bookshelves! Try the science fiction bookshelf as an example:
我们刚刚为书架发布了大幅更新！以科幻书架为例：

https://shepherd.com/bookshelf/science-fiction

You can visually explore science-fiction books in a ton of different ways.
你可以用很多种不同的方式直观地探索科幻书籍。

The most recommended of all time (or by decade): https://shepherd.com/bookshelf/science-fiction
所有时间最推荐的（或按年代推荐）: https://shepherd.com/bookshelf/science-fiction

Trending science fiction books: https://shepherd.com/bookshelf/science-fiction/trending
热门科幻书籍：https://shepherd.com/bookshelf/science-fiction/trending

The most recommended new sci-fi (pub in last 3 years): https://shepherd.com/bookshelf/science-fiction/new
最近三年出版的新科幻推荐: https://shepherd.com/bookshelf/science-fiction/new

Filter sci-fi by subgenre, topics, and more (for example this filter shows books with AI): https://shepherd.com/bookshelf/science-fiction/book-dna?topi…
按子类型、主题等筛选科幻（例如这个筛选显示 AI 相关的书籍）: https://shepherd.com/bookshelf/science-fiction/book-dna?topi…

Our sci-fi book recommendation lists by authors: https://shepherd.com/bookshelf/science-fiction/book-lists
按作者推荐的科幻书单: https://shepherd.com/bookshelf/science-fiction/book-lists

And, we’ve got these for 3,000+ bookshelves…
而且，我们还有超过 3,000 个书架…

Space opera: https://shepherd.com/bookshelf/space-opera
太空歌剧：https://shepherd.com/bookshelf/space-opera

Hard science fiction: https://shepherd.com/bookshelf/hard-science-fiction
硬科幻: https://shepherd.com/bookshelf/hard-science-fiction

Military science fiction: https://shepherd.com/bookshelf/military-science-fiction
军事科幻: https://shepherd.com/bookshelf/military-science-fiction

History: https://shepherd.com/bookshelf/history
历史: https://shepherd.com/bookshelf/history

Nonfiction: https://shepherd.com/bookshelf/nonfiction
非虚构: https://shepherd.com/bookshelf/nonfiction

Biology: https://shepherd.com/bookshelf/biology
生物学：https://shepherd.com/bookshelf/biology

World War 1: https://shepherd.com/bookshelf/world-war-1
第一次世界大战：https://shepherd.com/bookshelf/world-war-1

Math: https://shepherd.com/bookshelf/math
数学：https://shepherd.com/bookshelf/math

Astrophysics: https://shepherd.com/bookshelf/astrophysics
天体物理学：https://shepherd.com/bookshelf/astrophysics

Philosophy: https://shepherd.com/bookshelf/philosophy
哲学：https://shepherd.com/bookshelf/philosophy

Travel: https://shepherd.com/bookshelf/travel
旅行：https://shepherd.com/bookshelf/travel

Fantasy: https://shepherd.com/bookshelf/fantasy
奇幻：https://shepherd.com/bookshelf/fantasy

Books for 8-year-olds: https://shepherd.com/bookshelf/8-year-olds
8 岁孩子的书：https://shepherd.com/bookshelf/8-year-olds

You can browse for any genre, topic, or age group in the search bar, too.
你还可以在搜索栏中浏览任何类型、主题或年龄段的书籍。

Where does the data that drives this come from?
这些驱动数据来自哪里？

We’ve done mini-interviews with 12,000+ authors to get their favorite books. We also conduct an annual survey of readers/authors to find their 3 favorite reads of the year (https://shepherd.com/bboy/2024). I’m working to bring in more reader data and expand our book database using Open Library.
我们与 12,000 多位作者进行了小型访谈，以获取他们最喜欢的书籍。我们还每年进行一次读者/作者的调查，以找出他们最喜欢的三本书（https://shepherd.com/bboy/2024）。我正在努力引入更多读者数据，并使用 Open Library 扩展我们的书籍数据库。

What do we use to build this?
我们用什么来构建这个？

Python, Django, Heroku, Postgres, Cloudflare, NLP/ML for Wikipedia topic IDs via Wikifier (https://wikifier.org), Nielsen’s book API database (publisher data + Library of Congress data), and Cloudinary.
Python、Django、Heroku、Postgres、Cloudflare、用于 Wikipedia 主题 ID 的 NLP/ML（通过 Wikifier，https://wikifier.org）、Nielsen 的图书 API 数据库（出版社数据+国会图书馆数据），以及 Cloudinary。

What’s next?  接下来是什么？

I’m working to launch a full app for readers that will be like Goodreads but smarter, more personalized, and focused on private notes. I’ve got some early mockups here and more info:
我正在开发一款面向读者的完整应用程序，它将像 Goodreads 一样，但更智能、更个性化，并专注于私人笔记。这里有一些早期的模型图，更多信息：

My email is ben@shepherd.com if you want to share ideas or suggestions 🙂
如果想要分享想法或建议，我的邮箱是 ben@shepherd.com 🙂

Thanks, Ben  谢谢，本