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arekp
searching Neon…
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5 ms
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1.
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by
arekp
13y ago
Did you contact them before smearing them in public?
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by
arekp
13y ago
I submitted all other links before to HN (5000 best movies, books, websites, etc.)
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5000 best things
(arekpaterek.blogspot.com)
2 points
by
arekp
14y ago
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0 comments
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by
arekp
14y ago
I had a small feature - importing ratings from Netflix in my (now abandoned) application "Movie Galaxy" http://5000best.com/movie-galaxy/
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by
arekp
14y ago
It lists only websites in English, and the ranking is US-centric.
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by
arekp
14y ago
It's interesting to compare the findings with website popularity: http://5000best.com/websites/
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Show HN: 5000 Best Harlem Shake Videos
(5000best.com)
3 points
by
arekp
14y ago
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0 comments
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Show HN: 5000 best videos
(5000best.com)
1 points
by
arekp
14y ago
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0 comments
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5000 best / most popular websites
(5000best.com)
1 points
by
arekp
14y ago
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0 comments
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by
arekp
14y ago
Yea, that Excel-table-like design probably breaks all design rules. It surprises me most when I occasionally see design professionals complementing it. I am rather a backend programmer and I have no illusions. But even the Hacker News audie
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by
arekp
14y ago
The website should withstand several times larger traffic than the HN frontpage effect. I am not sure about the reddit effect.
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by
arekp
14y ago
I do not know when I will have time to experiment more with the website, but volunteers are always welcome.
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by
arekp
14y ago
I have to tune that one. Violence and blood alone should not indicate a horror.
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by
arekp
14y ago
Thank you. I was in top 50 in the Netflix Prize and wrote a book about recommender systems ( http://arek-paterek.com/book/ ) if someone is interested how the bread is made.
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by
arekp
14y ago
Score is different in each of the 55 rankings. I do not know if this is clear in the interface, but "Law" is one of the rankings, not a filter.
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by
arekp
14y ago
Yes, the interface became a little complicated. The previous version was more accessible for a casual user, for example the following article about the website was received pretty enthusiastically (retweeted about 1000 times) http://gigazi
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by
arekp
14y ago
Great feedback. I see I should do it this way.
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by
arekp
14y ago
Thanks. We'll see. Each feature costs developer's time. Edit: the stack is G-WAN and everything is written in plain ANSI C. I wrote my own HTTP servers in C/C++ for my previous websites, but this time I tried G-WAN. I think it saved me one
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Show HN: 5000 best movies
(5000best.com)
23 points
by
arekp
14y ago
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28 comments
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by
arekp
14y ago
The Netflix Prize winners had a few RBM models that used the dates. Regarding the DBM - I also tried to use more than one layer, and without success. I tried out 3-layer and 4-layer autoencoders (can be called 1.5-layer and 2-layer DBM), wi
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Show HN: 5000 best books
(5000best.com)
1 points
by
arekp
14y ago
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0 comments
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by
arekp
14y ago
Extending my comment, I am almost sure that passing a small negative argument (which is converted to a large positive number) causes malloc to return NULL on Linux.
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by
arekp
14y ago
False. malloc() fails with a negative argument.
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by
arekp
14y ago
This makes me think. In 2012 people still think that genetic programming, a numerical optimization technique (and not the most efficient one), magically solves random machine learning problems.
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by
arekp
14y ago
It is there, but undocumented and the syntax may change in the future. http://5000best.com/movies?g2=on&y0=1990&y1=2005&...
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by
arekp
14y ago
I had to choose one name per movie. If a movie is based on a novel, I believe the author of the novel should be credited in the first place. Usually the script degrades the quality of the novel.
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by
arekp
14y ago
It is doable, but because these companies compete with each other, would they all be happy seeing their streaming links next to each other? They can cut off access to their APIs at any time.
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by
arekp
14y ago
Thanks for the suggestions and for the bug report.
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by
arekp
14y ago
The clustering was based on the regularized SVD / matrix factorization results. Details in my e-book.
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by
arekp
14y ago
So which taste the best? I started in the Netflix Prize, and for me a movie taste is a point in a 32-dimensional space or 64-dimensional space. Which point is better than the others?
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