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We have seen many Latin women for marriage at Latino dating sites, looking for love and romance online. There are many Latin dating services that offer totally free Latin dating service for Latino singles online. In the last few years, many relationships and marriage are generated from these Latin dating services. Latin singles joining these Latino dating online websites has been popular in the last few years. Many marriages are created from these Latin dating singles services. I have been a single Latino who live in California for a few years. I go to the bars and nightclubs every Saturday to seek date. I could not find any long term relationship. 

Most of my dates lasted a few weeks. I feel bored of going to seek dates at these places and stopped going there. My friend introduced me to join Latin dating websites to find online dates. I was confused what Jane told me about online dating services and have forgotten about that for a few months. Until one Saturday afternoon, while sitting on my computer, I remembered what Jane told me about find dates on the Internet. So, I went to type “Latino dating online websites” on Google’s search box. Woh, there are too many Latin singles dating services showed up on Google. I started joining three online dating websites which mainly focused on Latino singles. I created my personal ads on these dating sites and posted my photos there. After I joined three Latin single dating sites on that Saturday, I received about 20 messages of Latino guys. 

I was surprised getting these messages from Latin guys with beautiful photos. They are local, within 1 hour drive. They want to get knowing me and they want to chat with me. So, I really didn’t know who I shall pick to reply. You know what, I replied to all Latino men who contacted me. However, there were 15 guys who answered my messages. Some guys asked me to chat right away. So, I went to the chat room and chatted with him. Then, I chatted with some guys (of course at different time) and we exchanged phone numbers with some. However, we talked on the phone to understand more about each other. A few weeks later, I decided to go for a face to face meeting with two guys, at different day. 

Then, after a few months, one of the two guys I go out with, became my boyfriend. We got married after two years of dating. The story I tell here is to help online Latin singles who should join Latino dating websites to find dates. Seeking online dates from these free Latin singles dating services is very easy. Some on line dating services are 100% free which do not cost you any fee. This is my experience about how easy to look for dates online. If you want to have a long term relationships, then these Latino personals services will help you. Latin dating online websites are the means to find Latino singles. If you are new, I recommend joining free Latin dating sites is the best start for seeking online Latino singles. 

Looking for your other half is easy and simple by joining these Latin dating services to find your Latino singles for free. Single men and women are waiting to meet you. Meeting Latin singles of your dream from on line Latino dating services is the best steps for Latinos. Latin single men seeking Latino single women for dating and marriage at totally free Latin dating sites are the best steps for online singles.



By: Dating Fish

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Reading How Google Finds Your Needle in the Web’s Haystack I was surprised by the simplicity of the math underlying the google PageRank algorithm, and the ease with which it seemed to be efficiently implementable. Being able to do a google-style ranking seems useful for a wide range of cases, and since I had wanted to take a look at python for numerics for some time, I decided to give it a shot (note that there already exists a python implementation using the numarray module).

Contents:

The Math The Algorithm The Code [full source] The Validation A Quick Note on Performance

Note that PageRank™ is a trademark of Google and that the described algorithm is covered by numerous patents. I hope the powers that be will nevertheless ignore/forgive my insolence — I was just curious and mean no harm ;-). Note also, as multiple commenters have pointed out, that this algorithm is an implementation of the “historical” PageRank algorithm as published by Page and Brin, which does not really seem to be actively used at Google anymore.

The Math

A recent article on the AMS featurecolumn neatly described the google PageRank algorithm, showing in a few relatively easy steps that for a set of N linked pages it boils down to finding the N-dimensional (column) vector I of “page relevance coefficients” which one can formulate to be (see the above article) the principal eigenvector (i.e. the one corresponding to the largest eigenvalue) of the google matrix G defined as

G = ?(H + A) + (1 - ?) 1N .    (1)

Here, ? is some parameter between 0 and 1 (typically taken to be 0.85). For the entry specified by row i and column j we define Hij = 1 / lj if page j links to page i (and lj is the total number of links on page j), and 0 otherwise, such that the “relevance” of page i is

Ii = ?j Hij Ij ,     (2)

corresponding to the number of links pointing to each page, weighted by the relevance of the source page divided by the number of links emanating from the source page. Similarly, we define Aij = 1 / N if j is a page with no outgoing links, and 0 otherwise. So each page has a total of 1 outgoing “link weights”, i.e. the sum over the elements of each column of H + A is one (it is a stochastic matrix). Finally, 1N is defined to be an N x N matrix with all elements equal to 1 / N (it is not the identity matrix), and is therefore also stochastic. Similarly, G is stochastic. This latter statement is important, because for stochastic matrices the largest eigenvalue is 1, and the corresponding eigenvector can accordingly be found using the power method, which will turn out to be very efficient in this case.

Summarizing, G (a finite markov chain) may be interpreted to model the behaviour of a user who stays at each page for the same amount of time, then either (with probability ?) randomly clicks a link on this page (or goes to a random page if no outgoing links exist), or picks a random page off of the www (with probability 1 - ?).

Finally, the power method relies on the fact that for eigenvalue problems where the largest eigenvalue is non-degenerate and equal to 1 (which is the case), one can find a good approximate for the principal eigenvector via an iterative procedure starting from some (arbitrary) guess I0:

I = Ik = GkI0 , k?? .     (3)

Full Article: Google PageRank Algorithm



By: sandya

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