try my thesis!

Discussion in 'Programming & Software Development' started by MadOnion87, May 14, 2009.

  1. MadOnion87

    MadOnion87 Member

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    Hi all,

    I want YOU to try my undergrad thesis! It's a Firefox extension that tries to predict where/what you want to go/do. At the moment it's only available in Linux (I might compile one for windoze over the weekend). What I want you to do is install it, then surf the net as usual for few days (so it can learn what you want to do) then try it out. Please vent all your frustration in the survey (link @ bottom of the website) so I can evaluate just how good (bad) it is.

    At the moment I would like to hear bug reports and other algorithmic suggestions. I'm not too keen on prettiness and configurability at the moment =)

    website:
    http://www.cse.unsw.edu.au/~swong/thesis/index.html

    thanks
    steve
     
  2. GumbyNoTalent

    GumbyNoTalent Member

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    Im sorry but that is so simple, just redirect to a porn site and you can predict 99% of the population... ;)
     
  3. alexlim2000

    alexlim2000 Member

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    VERY GOOD PRODUCT

    WILL BUY AGAIN
     
  4. OP
    OP
    MadOnion87

    MadOnion87 Member

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    sif awi lol
     
  5. Foliage

    Foliage Member

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    Compile it for windows and I will give it a shot.
     
  6. xsive

    xsive Member

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    So what does it do, exactly? And how does it work?
    Please be technical.

    EDIT:
    OK, so looking at your thesis draft it seems you use a Bayesian classifier to suggest where a user might want to browse to next. This is based on past browsing information that extracts page titles and associated keywords. Once the classifier is trained (I presume this is where the week-long "do not use until" requirement comes from) you analyse the current page and recommend links. You should have said so up front.

    It sounds interesting. Do you have a minimum threshold probability before you make a recommendation or are links always recommended? Also, I don't understand why you're planning to use a survey to evaluate your algorithm. Surely it would be better to use logs from individual user's machines? At least then you could compare how close the link that was eventually clicked on was to the recommended link.

    EDIT2:
    I notice your thesis intro is pretty vague (I had to read quite a bit to find out what you were doing). Why include "History of Computing"? As I see it, the only bit in Chapter 1 relevant to your thesis is *the last paragraph*! :eek:
     
    Last edited: May 14, 2009
  7. OP
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    MadOnion87

    MadOnion87 Member

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    Foliage: I will probably compile a windoze version over the weekend

    xsive: That's because I haven't quite plan out what I'm gonna do when I wrote my thesis A report (which is almost a year ago). And I realised that my thesis topic itself is too general. You can disregard most of what I've wrote for thesis A. So there are two things I look at. 1) changes in URL. 2) the relationship between the [title + keywords in meta tag] and [the link you just clicked]. I've made an assumption that the title and stuff between <a href..> </a> tell you something about their respective webpage. Might sound like simply counting numbers at first, but if you want to calculate proper probabilities, its ridiculously difficult.

    [edit] I've also updated the version to include a few bug fix [/edit]
     
  8. OP
    OP
    MadOnion87

    MadOnion87 Member

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    I've compiled a windoze version.
    I'm not gonna try and guarantee its stability lol. If it crashes/too slow/got too frustrating, just remove it.

    thanks

    [edit] hmmm seems to have lots of trouble recognising it, firefox doesn't seem to refresh the extension list [edit]
     
    Last edited: May 18, 2009
  9. eyeLikeCarrots

    eyeLikeCarrots Member

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    If you stay with this assumption, make sure you doccument it in your paper.


    No need to re-direct to a porn site... 90% of the population will go there themself anyway.

    "The Internet as a research tool.... lol"
     

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