[HN Gopher] Scholars once feared that the book index would destr...
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       Scholars once feared that the book index would destroy reading
        
       Author : hhs
       Score  : 82 points
       Date   : 2022-02-20 17:42 UTC (5 hours ago)
        
 (HTM) web link (lithub.com)
 (TXT) w3m dump (lithub.com)
        
       | jhoechtl wrote:
       | Scholars once feared that a search engine would destroy
       | intelligent reasoning.
        
         | mortenlarsen wrote:
         | It did, when it turned out you could game the system to move
         | eyeballs from reality, to fiction that confirmed peoples
         | biases. (both search engines and other content ranking
         | systems).
        
           | nate_meurer wrote:
           | That's a good point, and undoubtedly true for some. But I
           | honestly believe that the discoverability of knowledge that
           | Internet search enables is the most powerful and beneficial
           | tool humanity has ever made. It certainly is for me
           | personally.
        
       | [deleted]
        
       | frostburg wrote:
       | I have heard (yes, somewhat recently) some classicists argue that
       | the move from scrolls to books, with the text segmented in pages,
       | was also harmful with arguments along similar lines.
        
       | blurker wrote:
       | This reminds me of an episode of 99% Invisible [0] that I
       | listened to. That episode also covered a bit about the history of
       | indexes (which is relevant to the history of alphabetical
       | sorting), including how scholars feared and resisted the adoption
       | of indexes. It was super fascinating and I highly recommend
       | giving it a listen if you found this article interesting!
       | 
       | [0] https://99percentinvisible.org/episode/alphabetical-order/
        
         | mortenlarsen wrote:
         | Thanks for that. Now I have 530 episodes in my podcast queue :)
        
           | DantesKite wrote:
           | On a side note, I've always wish there was an API that could
           | recommend media content.
           | 
           | Like you could just plug it into any playlist of songs,
           | movies, or books, have it do some algorithmic analysis, and
           | spit out what you would probably find fascinating.
        
             | ghaff wrote:
             | You've basically described recommendation engines generally
             | and they tend to deliver mediocre to awful results for a
             | bunch of different reasons. I remember hearing talks on the
             | topic over a decade ago and things haven't really gotten
             | much better--and my sense is that most people have given up
             | on actually creating a _good_ engine.
        
               | bombcar wrote:
               | I've found much better results using your lists to find
               | _people_ with some overlap, and then looking at what they
               | have.
               | 
               | Which is basically what HN is.
        
               | timbeccue wrote:
               | Do recommendation algorithms not take this into account
               | already? Perhaps privacy policies make it harder to
               | automate this effectively.
        
               | bombcar wrote:
               | The famous ones may, but it ends up taking into account
               | "what do we want you to see/listen/look at" much more
               | into account.
        
               | ghaff wrote:
               | The original Netflix prize also, it turned out, wasn't
               | really implemented for a number of reasons. But one of
               | them was apparently that Netflix doesn't necessarily want
               | to give you the best recommendations; it wants you to
               | keep your subscription. There's certainly some overlap
               | between those objectives but they're not the same thing.
        
               | mortenlarsen wrote:
               | I have played ~5 seconds of one random episode from the
               | front page on my Netflix profile since i subscribed
               | around 2016. This was just to verify that it worked.
               | 
               | It still chuckles me up when they send me an e-mail once
               | in a while, about what I might like based my past viewing
               | preferences.
               | 
               | Note: My GF, has a profile that she uses sometimes, but
               | mine haven't been used since the account was created.
        
               | bombcar wrote:
               | They're also incentivized to show you things that cost
               | them "nothing" or "less" than others things - and if they
               | KNOW the things you'd like to watch it's better for them
               | to string those out so you keep subscribed.
               | 
               | The perfect Netflix customer is one always on the cusp of
               | cancelling from lack of use but never actually does ...
        
               | ghaff wrote:
               | In addition to the cost angle, they're also incentivized
               | to push you towards exclusives. Things you can watch on
               | other services (assuming you subscribe and know they're
               | there) are much less of a hook to keep you on Netflix.
        
               | ghaff wrote:
               | It depends what the overlap is of course. Something like
               | music probably has a big age component in what people
               | like for example.
               | 
               | But, yes, in general friends with at least reasonably
               | similar preferences to myself are almost certainly a
               | better source of recommendations for video, music, and
               | books than a recommendation engine.
        
             | zdragnar wrote:
             | I remember when Pandora was attempting to compute the "DNA"
             | of a song (assorted classifications like key, tempo, style)
             | and recommend music based on that. You could then get a
             | "station" based on a single song, and fine-tune it by
             | adding more or disliking songs as they came up.
             | 
             | The end result was underwhelming- it never really captured
             | the characteristics that I actually liked about particular
             | songs, and ended up being crappy or so narrowly tuned that
             | it lacked enough variety to be interesting.
             | 
             | The concept is still around, but with less scientific
             | sounding fluff and, I think, more relaxed parameters for
             | recommendations.
        
               | ghaff wrote:
               | >You could then get a "station" based on a single song
               | 
               | Apple Genius did something similar and it mostly worked
               | not badly because it was drawing from songs in your
               | collection already.
               | 
               | You're more likely to like songs in specific genres and
               | time periods and songs that are popular generally. Once
               | you get beyond that, it gets harder. And the situation is
               | probably even harder with video unless you basically
               | watch superhero films.
        
               | thaumasiotes wrote:
               | Did Pandora change at some point?
        
         | martyvis wrote:
         | As soon as I saw this post I thought it that podcast. It was
         | quite interesting how we take the alphabet as so fundamental.
         | (And with a surname beginning with "V" I was always frustrated
         | at school at being down the back of the line unless an
         | enlightened teacher occasionally mixed it up)
        
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       (page generated 2022-02-20 23:00 UTC)