Erkekler İçin Arkadaşlık Siteleri Analizi

İnternette hangi tip erkekler daha çok ilgi görüyor? Arkadaşlık siteleri(sosyal network) arasında farklılıklar var mı? Hangi arkadaşlık sitesinde hangi tip erkeğe rağbet ediliyor? Bu sitelerdeki bayanlar erkeklerden ne bekliyor? Karakterlerine göre farklı arkadaşlık siteleri seçen erkeklerin şansı yükseliyor mu?

Bu soruları cevaplayabilmek için amatör olarak bir sosyal deney hazırladık. Bu deneyde İstanbul’da yaşayan 3 adet farklı erkek profili ve 5 tane arkadaşlık sitesi kullandık. Deneyden çıkan sonuç şaşırtıcıydı:

• Çoğu sosyal networkte bayanlar iyi bir meslek sahibi, iyi gelir sahibi izlenimi veren, “düzgün ve elit” olarak tabir edilen modern erkeği tercih ettiler.
• Eğlenceye ve gece hayatına düşkün, cinsel içerikli mesajlar atan üniversite öğrencisi genç attığı mesajlara beklenenden daha yüksek cevaplar alsa da bu mesajların çoğu olumsuzdu. Ancak test sonuçları olumlu/olumsuz ayrımı yapılmadan sergilendi.
• “Kro” olarak tabir edilebilecek aşırı romantik erkek ise sosyal networklerin çoğunda aldığı geri dönüş ve bu geri dönüşlerin olumluluğu bakımından diğer 2 erkek profiline yetişemedi.

Metodoloji: Her sosyal networkte Random Sampling (Rastgele Örneklem) yöntemi kullanılarak, İstanbul’da yaşayan 600 kişi belirledik ve her karakterin hesabından 200’er kişiye mesaj attık. Toplamda 3000 adet mesaj gönderildi ve geri dönüş sayıları kaydedildi. Testimizin amacı nedeniyle karakterlerin tipleri profillerine uygun seçildi. Ancak yine de, profilden bağımsız olarak karakterlerin çekicilik seviyeleri sonuçları etkilemiş olabilir.

Devamı:

Bu çalışmanın tamamına PDF olarak buradan ulaşabilirsiniz.

Mahout Review by iletken

- This is a post I copied from iletken’s blog -

Taste is an open-source recommendation library in which you can create a basic recommender
easily.

In  this post, we will  try  to describe  some  key  features of Mahout’s Taste  implementation,  and  also discuss  some problems  associated with  it. Because Taste  has  standard  textbook  algorithms, we will  not  get  into  accuracy  details.  Therefore  our  main focus will be on performance. As a recommender system provider, we are also struggling  with scalability issues and we are investigating up to what extent a Hadoop implementation can help.  Therefore, we went  ahead  and  tested Mahout’s  latest  release  in  order  to  answer  thisquestion:

Does Taste in Mahout somehow solve scalability issues in recommender systems?

Sadly,  the  answer  was  not a  Yes.  Taste  is  a  great  API  which  is  very  easy  to  develop  with,  however  even  with  the  Hadoop’s  scalability  features,  Taste  is  very  limited.  Taste’s  original implementation is not scalable and this implementation does not fit into Hadoop’s map-reduce  logic  naturally.
After  providing  a  detailed  review  of  Mahout-Taste,  we  will  be  describing  some  of  the
methodologies  and  technologies  we  rely  on  to  overcome  our  performance  and  resource
management  problems with  iletken. We  will  be  recommending  some  basic  implementation
tips.

- Download the complete review in PDF format -

Summary
Pros:

• Mahout  manages  to  scale  training  session  with  slope  one  method  and  hadoop implementation
• Mahout is Open Source

Cons:

• Does not scale as expected
• Mahout scalability is achieved by only using a slope one method.
• Standard Slope one  recommender  is not very accurate  (Netflix  test: Success  -3%  (0.98RMSE))  compared  to  other  algorithms(not  included  in  Mahout)  such  as  Matrix Factorization(Netflix test: Success: 8.4% (0.87 RMSE))
• Inefficient implementation
• High memory & resource consumption
• Only Collaborative filtering
• Only standart algorithms

Goodbye

Goodbye my friend, Goodbye my hero.

Just moonwalk

Deniz OKTAR hakkında 25 ipucu

1- çok üşengeçim…

Scalability in Web Applications

When I met with a scientist from Last.fm on RecSys08, first thing he asked me about our iletken project was that: “how did you solve scalability issues? “ So, I have decided to talk about scalability and caching issues according to my experiences I had on my Internship at Turkcell Teknoloji. I will also try to explain a spesific product: Oracle Coherence, which is a clustered cache solution (or data grid). In the future, I will add some test results to this post. The main reason I am explaining Oracle Coherence is that I had the chance to work on it and they have very good examples/illustrations of data topoplogies which explains the different approaches of distrubted caches. There are many alternatives to Coherence but I do not have enough experience with them.

All the images below belong to Oracle.

If you are designing a customer oriented web application, you might want to consider the days when your users will exponentially increase. The mythical question is that will your application scale easily? Meaning that would your load capacity/performance of the application increase as you add more servers? The answer is not quite simple and don’t believe your IT department if they easily say “well… yeah sure. Why not? As we have more users, we will get faster or more machines “Scalability is actually very related to your initial design choices and it is hard to fix a non-scaleable system. So, scalability is not a hardware but a software design issue. A software architect must take scalability issues into consideration.

Strande prize :)

Check our website: iletken-project.com

Hi, check our new website for the iletken project: www.iletken-project.com

Success !

We have been chosen as one of the 5 finalists of “Strands $100,000 Call for Recommender Startups” with the project “iletken” which I have ben working on for 2 years. I will be presenting our project at the “ACM Recommender Systems 2008 Conference” at Switzerland on October 23-25.

It is a very joyful and encouraging development for us. The winner will get $100k funding but the most important part is to attend to the conference and meet with people who researches on recommendation systems. There were 25 competitors and this call was actually made for companies. So, as 4 collage students, we consider presenting at RecSys08 as a big success. Meanwhile, if we manage to get the $100k that would be just fine !

The other finalists are announced at RecSys08 website. I am excited to see that a there are two Netflix price competitor ( commendo (BigChaos) and Gravity RD)  in the list! Wow These two guys have the 2nd and 5th place.

If you are interested on what we are working on, this post includes some details: Modern Oil War of Web: Social Data War

Edit: I want to thank Turkcell Teknoloji for sponsoring some of our travel expenses for the conference.

iletken: murat deniz

9 sene sonra o adami bulmak ! Linux…

Mail gruplarına yazılan mailler konusunda dikkatli olmak lazım. Google da adımı aratınca hala karşıma çıkan pek rezil bir mail mevzusu var. Bundan tam 9 sene 6 ay önce, linux kurmaya çalışırken yaşadığım bir sorunla ilgili Bilkent Linux mail grubuna yazdığım birkaç mail seneler sonra ilginç bir süprize dönüştü. O zamanlar 14 yaşında bir orta okul öğrencisi olan ben, soru sormaya çalışırken komik tabirler kullanmış, cevap gelmeyince “yaaa noooluur cevap verin lütfeannn HELP HELP HELP” gibi devam mailleri göndermiştim.

(devami var)

Build your own secure Chrome then!

Instead of crying because of the privacy issues of Google Chrome, developers of the open source world can build their own secure-release of Google Chrome, if they seriously think there is a big threat !

Yesterday, for the first time in my life, I read the whole user agreement before downloading something !

And I saw that there are some critics going on about Google Chrome’s EULA, especially about the privacy issue. This morning, Google changed their EULA a bit as a response to those critics.

The question: Does or Will Google gather our web browsing data remains unclear to me since there are no official announcements. The only valuable information was on this CNET blog post:

edit: there is a privacy information page from Google.

“Provided that users leave Chrome’s auto-suggest feature on and have Google as their default search provider, Google will have access to any keystrokes that are typed into the browser’s Omnibox, even before a user hits enter.”

“A Google representative told CNET News that the company plans to store about 2 percent of that data–and plans to store it along with the Internet Protocol address of the computer that typed it.”

As I have stated in my previous post, Google seems a bit greedy for the user data. I believe Usage Data is useful to provide better services. So I am not a person to be over-protective, However, this has to be done very carefully. So, if there are this much discussion going on, then it seems like Google was not careful about how they explained their product to the public. Well, there are still no evidence if Google is  gathering your usage data. Here is a link of a nice blog post explaining what he knows about Chrome-Google communication.

So here is a free idea: Since Chrome is opensource, build your own  – secure – no data sending – blessed Chrome? I’m sure you’ll get some fame.

Ps. I am not an expert on license. I know google uses BSD-like license. If what i have suggested cannot be implemented, please let me know.