bugra

5 ms·

1.
How We Created a Visual Search Engine for Hayneedle.com(medium.com)
2 points by bugra 8y ago|0 comments
2.
Replicated – An Easier Path from SaaS to Enterprise(tom.preston-werner.com)
2 points by bugra 11y ago|0 comments
3.
by bugra 12y ago
Thanks for the comment and criticism. Yeah, I felt the same way. Most papers do not mention about features, why they chose them, what they learned about the dataset. Only, a high level architecture of the system, and possibly some compariso
4.
Start with Code(google.com.au)
1 points by bugra 12y ago|0 comments
5.
IMDB Top 100K Movies Analysis in Depth Part 3(bugra.github.io)
2 points by bugra 13y ago|0 comments
6.
by bugra 13y ago
So, I tried to do cluster the outlines but generally they are quite short and does not reveal much about what the movies are about but rather the plot. So, I am a little skeptical if it yields good results for subtitles.
7.
by bugra 13y ago
I missed the comment in the previous one, sorry about that. I am not familiar with the theory but if I could get the writers information(right now I only have the directors) that would be interesting aspect of data to investigate.
8.
by bugra 13y ago
1. Yes, I agree with you and I wrote on the first post is that that is mostly due to selection bias. http://bugra.github.io/work/notes/2014-02-15/imdb-top-100K-m... 2) That is true but I think that holds for
9.
by bugra 13y ago
That is exactly why I generally prefer median-like average methods versus mean-like averages in these type of crowdsourced systems. Generally speaking, average votes are distributed evenly whereas the ratings on the edges are not. The movie
10.
by bugra 13y ago
1. The timestamps are only years so I cannot use at least the information that IMDB provides for such analysis. That would be quite interesting, though. Also, what time of year that movie is released and how does that affect to the movie&#x
11.
by bugra 13y ago
I am also very interested in the correlation of rating vs director. However, I do not have the budget information for the movies. It would be great if I could find budget information and combine them with the data I have. I have not though
12.
by bugra 13y ago
I will do the regression analysis in the second part of the post, thanks for the suggestion! Thanks for the bug feedback around facebook widget as well, I will fix it.
13.
by bugra 13y ago
It is true that as runtime increases, the number of movies decreases. However, if you look at the mainstream runtimes(>80 and <100), generally they get quite a variety of ratings for a given runtime if not uniform. On the other hand,
14.
by bugra 13y ago
IMDB recently released their data in which I took the ranking equation, you may find it useful: http://www.imdb.com/interfaces
15.
by bugra 13y ago
It is not Melancholia(2011) but Melancholia 2008, here is IMDB link which says 450 minutes: http://www.imdb.com/title/tt1269566/ In the table, I also gave the release year of the movie in order to avoid name confl
16.
Mongo-DB Notes(bugra.github.com)
2 points by bugra 14y ago|0 comments