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Show HN: I scraped 3B Goodreads reviews to train a better recommendation model

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Re: Show HN: I scraped 3B Goodreads reviews to train a better recommendation model

#251
post #62

You should filter out authors from the input books in the output. If liked a book by an author, surely I'd read more of their work if I wanted to — recommending them isn't helpful. Along the same lines, I think interesting recommendations tend to be the ones that (1) I like and (2) I didn't expect. The more similar the recommendations are to the input, the more likely I already know them, and the more likely to creat…

I don't agree at all.

VERY few authors write consistenly good books.

If you liked one book by an author, it is not at all likely that you will like the other books as well. For example, Neil Stephenson is probably my favorite author alive today, but I hate almost half of his books.

The only author that I can think of where I read and liked every single book was Terry Pratchett, and that might have be a case of "I was still young and easy to impress".

Re: Show HN: I scraped 3B Goodreads reviews to train a better recommendation model

#252
post #150
post #130

I typed "Introduction to Real Analysis by Bartle" and I got: Steve Jobs by Walter Isaacson Harry Potter and the Sorcerer's Stone (Harry Potter, #1) by JK Rowling Topology by James R Munkres and so on.. Munkres' book is relevant and I want to read it, but what have Steve Jobs and Harry Potter got to do with with mathematics?

You may find these better: https://book.sv/similar?id=211570 > Note 1: If you only provide one or two books, the model doesn't have a lot to work with and may include a handful of somewhat unrelated popular books in the results. If you want recommendations based on just one book, click the "Similar" button next to the book after adding it to the input book list on the recommendations page.

Oh, my mistake. That's quite cool. I'll most probably use your site over Goodreads.

Re: Show HN: I scraped 3B Goodreads reviews to train a better recommendation model

#253

Earlier quoted context omitted.

I believe TOS is binding as long as it doesn't conflict with the law. If something is deemed fair use under the law, TOS cannot override those legal rights.

Legal rights are signed away all the time in contracts though.

Aren't there some limits on which legal rights can be signed away through a contract?

I imagine that a contract in which someone agrees to become a slave would be void.

Re: Show HN: I scraped 3B Goodreads reviews to train a better recommendation model

#254

Earlier quoted context omitted.

What does that comment have to do with confidentiality?

That he viewed a review on Goodreads as the reviewer’s intellectual property hadn’t occurred to me. I see why, in aggregate, many such opinions become valuable, but the whole is more than the sum of its parts. So does it feel to you guys like your comments, say, here in this Hacker News thread should be considered effectively copyrighted as your personal IP? If so, do you feel the same way about opinions you share ou…

Of course comments are copyrighted, if they happen to contain text that is novel. As an example, in the reddit TOS, they require commenters to license their comments to reddit.

> If so, do you feel the same way about opinions you share out in a supermarket or on the street?

Well being novel isn't the only criteria for copyright, the work must also be "fixated", and opinions in a supermarket usually isn't (but they can be, if I film them and post on reels or something; then the video itself is copyrighted)

https://copyrightalliance.org/education/copyright-law-explai...

> Fixation

> To meet the fixation requirement, a work of authorship must be fixed in a tangible medium of expression. Protection attaches automatically to an eligible work the moment the work is fixed. A work is considered to be fixed so long as it is sufficiently permanent or stable to permit it to be perceived, reproduced, or otherwise communicated for a period of more than transitory duration.

Re: Show HN: I scraped 3B Goodreads reviews to train a better recommendation model

#256

Earlier quoted context omitted.

Legal rights are signed away all the time in contracts though.

Aren't there some limits on which legal rights can be signed away through a contract? I imagine that a contract in which someone agrees to become a slave would be void.

Sure there are limits, but they seem to apply to really egregious things like selling your life or vote. We're talking about signing away the right to fair use, not entering into indentured servitude. People sign non-disparagement agreements all the time and this seems more like that than slavery.

Re: Show HN: I scraped 3B Goodreads reviews to train a better recommendation model

#257

Earlier quoted context omitted.

From that article: > However, after further appeal in another court, hiQ was found to be in breach of LinkedIn's terms, and there was a settlement. So why would the same not apply here?

A settlement means there was no legal ruling and no precedent set. The entire case is legally moot. In America, you can simply pay to not lose any lawsuit ever, and thus never have to face legal consequence or changes to the law you don't like.

Paying money is the legal consequence in most situations where one loses a civil case. Very rarely is any legal precedent a result of the case even if the court finds the party liable.

And this is the system in most of the world, even if the nomenclature is different between common law countries and civil and others.

Re: Show HN: I scraped 3B Goodreads reviews to train a better recommendation model

#259
post #62

You should filter out authors from the input books in the output. If liked a book by an author, surely I'd read more of their work if I wanted to — recommending them isn't helpful. Along the same lines, I think interesting recommendations tend to be the ones that (1) I like and (2) I didn't expect. The more similar the recommendations are to the input, the more likely I already know them, and the more likely to creat…

I don't agree at all. VERY few authors write consistenly good books. If you liked one book by an author, it is not at all likely that you will like the other books as well. For example, Neil Stephenson is probably my favorite author alive today, but I hate almost half of his books. The only author that I can think of where I read and liked every single book was Terry Pratchett, and that might have be a case of "I was…

I didn't say it was likely that you'd enjoy the other books by that author. My point is that it's not helpful for a recommendation system to recommend more books by that author — it's common sense. If I've read a book by an author, it's easy enough to look up their other work and decide whether I want to read more of them.

Re: Show HN: I scraped 3B Goodreads reviews to train a better recommendation model

#260
post #62

You should filter out authors from the input books in the output. If liked a book by an author, surely I'd read more of their work if I wanted to — recommending them isn't helpful. Along the same lines, I think interesting recommendations tend to be the ones that (1) I like and (2) I didn't expect. The more similar the recommendations are to the input, the more likely I already know them, and the more likely to creat…

> You should filter out authors from the input books in the output. No, or at least make it configurable. I’d agree for series, but not for Authors, just because I once read a book by someone doesn’t mean I even know they have other stuff, the list of Authors I read and enjoyed is very long.

Configurability is fine, but it's too obvious a recommendation and just creates noise. The purpose of a recommendation system is to help you find things that aren't obvious. I'd still filter them out by default even if it's configurable.
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