Books and movies

This post contains NO spoilers.

I saw The Time Traveler’s Wife with my wife today.  I had read the book about a year ago, and had been looking forward to the movie.  I wasn’t disappointed — I thought the movie was very moving and captured the spirit of the book, even if it didn’t capture everything.  It ignored some dynamics that the book elaborated on and some scenes and details were slightly different.

One thing I was concerned about while watching the movie was just how much I was liking it because I knew all the background in the book, or how much came from the movie.  If the former was true, then the movie wasn’t going to be that great an experience for someone who had read it.  If the latter was true, then it was a damn good movie.  I don’t have the answer to that.

Another concern is how it’s a cultural norm in our society to bash movies based on books, and yet to relentlessly watch them to the point that Hollywood feels compelled to turn every book that sells a few copies into one.  Douglas Adams once made the point that he changed the story of the Hitchhiker’s Guide to the Galaxy to match the medium he was writing it for.  A story that plays well on the radio can take advantage of completely different things when it is translated to book or movie form.  I don’t have the exact quote and searching for that kind of thing is damn near impossible on Google (let me know if you find it).

But that’s an observation I have long taken to heart when watching movies translated from books.  Obviously you can’t fit an entire book into 2 hours and still have a story that tells like anything worth watching.  You can’t capture the full power of every scene, every nuance, nor every subtlety that a book can.  That’s not what the silver screen does well.  What it does well (when it is done right) is making you feel in touch with characters and the story.  Books do that too, but movies actually put the images before your eyes.

That said, I have never been able to bring myself to read a book based on a movie.  I just can’t do it.

Advertisements

Next total solar eclipse in Atlanta

I already knew Wolfram|Alpha could do some cool astronomy calculations, like comparing the escape velocities of the Galilean moons.  A recent W|A blog post also pointed out that you can calculate the next lunar eclipse.  So I tried to see when the next solar eclipse would be for my area and it came up with a partial solar eclipse in 2014.  Skip that and go to the next and it turns out there’s going to be a decent one in 2017.  As a reminder, I sent an email to myself via FutureMe.  It’ll be interesting to see if a) I’m still using gmail in 8 years, b) if FutureMe is still around sending emails, and c) if we can still see the sun.  Man, I love W|A.

Total solar eclipse in 2017

Java maps and sorting

I’m always a little annoyed I have to implement sorting Map keys by their values myself in Java.  It seems like they should be a part of the standard Collections library or something.  Maybe they are and I just haven’t seen it?  My solution (gist) is based on feedback from Josh in the comments to a previous post. How does that look to you?

Lazyfeed: the missing link in the evolution of RSS?

When Lazyfeed announced a limited round of beta invites on TechCrunch, I admit, I lusted after them.  Only 250?  I wanted to be one!  But alas, I was put on the waiting list.  It’s a decent marketing strategy for building up some hype.  When I finally did get my invite, I tried them out for about 5 minutes and fell prey to the distractions of the internet.  That was a bad sign, though.  Usually a new service can hold my attention for a little while longer.  So what happened?

Lazy-wha?

Lazyfeed is a service that lets you enter topics, blogs, twitter, delicious and flickr accounts to form a live streaming lazyfeed.  You then get live updates in the form of your tags being updated.  Your main screen consists of a bunch of boxes with your topics and then things it guesses are related.

The hook

Lazyfeed’s marketing strategy succeeded again by giving me three invites to hand out to friends.  I offered them on Twitter, having only one person bite.  So here are the other two invites for the adventurous.  Get em while they’re hot.  If you manage to take one, please comment that you did so, so that I can at least know who you were and we can save someone else the wasted time.  I’m just throwing them into the ether like this because I don’t feel like pushing them on Twitter again.

NTI1MzMxMjc5ZVhmUTl5cDBiek1R
OTk5MTUwNjczN3JCLklmZHhjMDdV

The rub

Lazyfeed is a lovely service in terms of appearance and ajaxy goodness, but my initial impression is that it ends up being streaming information overload.  For one, the topic suggestion feature appears to be fairly naive.  Someone correct me if I’m wrong, but it looks a bit like document similarity for topics is done purely by one-for-one matching on tags.  Whatever the method, the result of their suggested topics (“Stuff for Lazy Jason”) is stuff like the following:

Lazyfeed sample suggested topics

Granted, it’s a hard problem, but those results are pretty bad.  So as I started to write this post lambasting this service, I considered that maybe I was just seeing cold-start problems, and I was being unfair.  So I trained it with some additional feeds and topics that are straight-to-the-point of stuff I’m interested in, like sigir2009, topicmodeling, recommendersystems, etc.  Tags can contain no spaces, btw, which is why those don’t.  When I tried using dashes, like I often do on delicious, it gives no results.  I also removed some things that were too general or contained too many spurious results.

The light

Things started improving here, and I actually began to understand what the point of Lazyfeed is.  My initial confusion was that “Stuff for Lazy Jason” is stuff that I would want to read right now.  Being lazy, I didn’t expect to have to do work to get those things.  But “Stuff for Lazy Jason” is a list of topics it thinks I might be interested in.  Saving any one of those puts it into my lazyfeed, which is in the bar on the left.

My lazyfeed topics

So now what happens is that occasionally it discovers something new related to my interests and it bumps that category to the top of the list and turns it bold again (grayed out topics have been read).  Most of my topics are low traffic, so add something like mariahcarey if you want to see this functionality in action.  Now we’re getting somewhere.  It has actually started being helpful and has found me some stuff that my Google alerts haven’t.  Which is weird, and is making me think I need to double check to make sure my Google alerts are working…

The end

My takeaway after using Lazyfeed for nigh on two hours is that it’s an interesting alternative (or even extension) to RSS, but one that still hasn’t crossed the bridge to the next stage in evolution.  The idea is solid.  Automatically discover stuff in the sea of human knowledge (or human idiocy) and serve it up fresh.  The implementation lacks robust topic detection which is unfortunately going to be necessary unless it is to become another source of information overload rather than a useful stream of relevant information. Relevance is an ephemeral thing, given that your information needs change from day to day.  Lazyfeed makes it pretty easy to get rid of old topics and add new ones, even if some of their suggestions are still wonky.  It’s an interesting recommender system problem with a lot of potential.