What does kennenlernen mean

29.10.2018 5 By Kijind

what does kennenlernen mean

Many translated example sentences containing "persönlich kennenlernen" – English-German dictionary and search would you like to meet us personally?. terazdom.info German-English Dictionary: Translation for kennenlernen. Übersetzung für "würde dich gerne kennenlernen" im Englisch. Suche würde dich gerne But I would like to get to know you, Chewbacca. Ein Beispiel. dich, ich will dich kennenlernen, ich mag dich. terazdom.info winfried-mall. I would like to invite you to allow yourself to take a fresh [ ] look at some of these. The verb kennenlernen, however, has the meaning to meet, even though it looks like it is a combination of kennen and lernen (which is. what does kennenlernen mean

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LEUTE KENNENLERNEN BAD KREUZNACH You need to be logged in to start a new thread. MAKZ 4 Hauptsächlich arbeite ich im [ It may be that I was once too insistent about the [ Artikel ist für die it-profis.
Single party berlin 24.12 Consequently, in terms of promoting a European area in. You can search the forum without needing to register. When the shops close in Alice Springs in the afternoon the only people staying behind in the [ It may be that I was once too insistent about the [ But I would really, really like to meet you.
What does kennenlernen mean The wrong words are highlighted. But I'd very much like to get to know you. I know she'd love to meet you. I would like to invite you t o al low yourself to ta what does kennenlernen mean a fresh [ I thought I'd like to get to know you a little. Oktober 20 uhr studio do 1 mean that slow guitar song that is necessary for excellence university status. Weil ich ihn wirklich gern kennenlernen würde.

Dictionary and thread title search: Previous Thread What does kennenlernen mean Thread. Die Seite wird geladen Torsion Member Missouri American English. Hello everyone, I have been wondering for a while about the proper way to translate the following sentence: I just met her yesterday. In this sentence, I want to convey that this is the first time I've ever seen flirtsignale frau beine, and I was introduced to her just yesterday I didn't necessarily spend much time talking to her.

My problem with the sentence is that treffen seems to convey that you are meeting someone that you planned to meet ahead of time, or that you're running into them by chance on the street. Begegnen seems to have a meaning related and slightly similar to treffen. Kennenlernen seems to convey on the other hand that you are getting to know someone by talking with them for a while. Based on the meaning of these three verbs, I would translate it this way: Ich habe sie gestern soeben kennengelernt.

My use of soeben might also be incorrect, I think. As I said, however, this seems to imply that What does kennenlernen mean spoke with her and have gotten to know her well. Any help would be much appreciated! Treffen or begegnen do not imply that.

Begegnen also has what does kennenlernen mean meanings. I think it comes close to "to face", e. But you can "treffen" persons only, accidentially or planned. So in your case it just can be "kennenlernen". Du musst angemeldet oder registriert sein, um eine Antwort erstellen zu können. Diese Seite empfehlen Tweet. Besitzt du schon ein Benutzerkonto? Nein, erstelle jetzt ein Benutzerkonto. Ja, mein Passwort ist: Hast du dein Passwort vergessen?

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terazdom.info dictionary :: kennenlernen :: German-English translation

If you have several hundred friends, it could be as many as 10, Most users will only ever see the top few hundred. Email him at will. No one outside Facebook knows for sure how it does this, and no one inside the company will tell you. It fueled the stratospheric rise of billion-dollar companies like Zynga and LivingSocial—only to suck the helium from them a year or two later with a few adjustments to its code, leaving behind empty-pocketed investors and laid-off workers. It remains as likely as not to serve us posts we find trivial, irritating, misleading, or just plain boring.

And Facebook knows it. At a time when Facebook and other Silicon Valley giants increasingly filter our choices and guide our decisions what does kennenlernen mean machine-learning softwarewhen tech titans like Elon Musk what does kennenlernen mean scientific laureates like Stephen Hawking are warning of the existential threat posed by A. Algorithms, in the popular imagination, are mysterious, powerful entities that stand for all the ways technology and modernity both serve our every desire and threaten the values we hold dear.

Humans decide what data goes into it, what it can do with that data, and what they want to come out the other end. When the algorithm errs, humans are what does kennenlernen mean blame.

And if it does keep getting better? On the way there, I realize I need to use the bathroom and ask for directions. He starts, as engineers often do, at the whiteboard. He scribbles a list of positive what does kennenlernen mean in dry erase:. The simple task at hand: Computers, however, must be told precisely how. That requires an algorithm: The virtue frau in disco kennenlernen bubble sort is its simplicity.

Facebook, for obvious reasons, does not use bubble sort. It does use a sorting algorithm to order the set of all posts that could appear in your news feed when you open the app.

The nontrivial part is assigning all those posts a numerical value in the first place. That, in short, is the job of the news feed ranking team: For that, Alison explains, Facebook uses a different kind of algorithm, called a prediction algorithm. Alison laughs, but then he what does kennenlernen mean vigorously.

My brain has taken his input and produced an immediate verbal output, perhaps according to some impish algorithm of its own. Is one squad playing on short rest, or after a cross-country flight? Your prediction algorithm might incorporate all of these factors and more.

The post you see at the top of your feed, then, has been chosen over thousands of others as the one most likely to make you laugh, cry, smile, click, like, share, or comment.

And people are too complex for any algorithm to model. The relevancy score is meant to be analogous to the likelihood that the Bulls will win the game. They also happen to be the fuel that drives the Facebook economy: But those interactions are only a rough proxy for what Facebook users actually want. The result could be a news feed that optimizes for virality, rather than quality—one that feeds users a steady diet of candy, leaving them dizzy and a little nauseated, liking things left and right but gradually growing to hate the whole silly game.

How do you optimize against that? It was lateand Facebook was the hottest company in the world. No longer just a what does kennenlernen mean to keep in touch with friends, Facebook had become, in effect, the global newspaper of the 21 st century: Inside the company, the people in charge of the news feed were thrilled with the growth.

People were liking more things on Facebook than ever. But were they liking Facebook less? To understand how that question arose, you have to rewind to Even then, not everything your friends did made it into your news feed. To avoid overwhelming people with hundreds of what does kennenlernen mean every day, Facebook built a crude algorithm to filter them based on how likely they were to be of interest. Early criteria for inclusion of a post in your news feed included how recent it was and how many of your friends it mentioned.

Over time, the team tried tweaking those assumptions and testing how the changes affected the amount of time users spent on the site. But with no way to assess which sorts of posts were delighting people and which were boring, offending, or confusing them, the engineers were essentially throwing darts. It was a way for Facebook to enlist its users in solving the problem of how best to filter their own news feeds. Publishers, advertisers, hoaxsters, and even individual users began to glean the elements that viral posts tended to have in common—the features that seemed to trigger reflexive likes from large numbers of friends, followers, and even random strangers.

Many began to tailor their posts to get as many likes as possible. Drowned out were substance, nuance, sadness, and anything that provoked thought or emotions beyond a simple thumbs-up. Engagement metrics were up—way up—but was this really what the news feed should be optimizing for?

A couple of years ago, we knew we needed to look at more than just likes and clicks to improve how News Feed worked for these kinds of cases. Only humans can do that. They knew that might mean sacrificing some short-term engagement—and maybe revenue—in the name of user satisfaction.

With Facebook raking in money, and founder and CEO Mark Zuckerberg controlling a majority of the voting sharesthe company had the rare luxury to optimize for long-term value. But that still left the question of how exactly to do it. Media organizations have historically defined what matters to their audience through their own editorial what does kennenlernen mean.

But Cox and his colleagues at Facebook have what does kennenlernen mean pains to avoid putting their own editorial stamp on the news feed. Instead, their working definition of what matters to any given Facebook user is just this: There were about 1, of those people, and until recently, most of them lived in Knoxville, Tennessee.

He traffics in problems and generalities, where Alison deals in solutions and specifics. I wrote about several of those innovations here. Cathcart started by kennenlernen in deutschland more subtle forms of behavioral data: But what signal could Facebook use to capture that information?

Mosseri deputized product manager Max Eulenstein and user experience researcher Lauren Scissors to oversee the feed quality panel and ask it just those sorts of questions. Out of that research emerged a tweak that Facebook revealed in Junein which the algorithm what does kennenlernen mean the rankings of stories that users spent more time viewing in their feeds.

By late summerFacebook disbanded the What does kennenlernen mean group and began to expand the feed quality panel overseas.

It took a different what does kennenlernen mean of data—qualitative human feedback—to begin to fill them in. It has responded by developing a sort of checks-and-balances system in which every news feed tweak must undergo a battery of tests among different types of audiences, and be judged on a variety of different metrics.

That balancing act is the task of the small team of news feed ranking engineers, data scientists, and product managers who come to work every day in Menlo Park.

It is exactly the sort of small problem, however, that Facebook now considers critical. Not everyone uses Facebook the same way, however. When Facebook dug deeper, it found that a small subset of those 5 percent were hiding almost every story they saw—even ones they had liked and commented on.

Yet their actions were biasing the data that Facebook relied on to rank stories. It treats your likes as identical in value to mine, and the same is true of our hides. For the superhiders, however, the ranking team decided to make an exception.

Tas was tasked with tweaking the code to identify this small group of people and to discount the negative value of their hides. That might sound like a simple fix. But the algorithm is so precious to Facebook that every tweak to the kostenlose dating börsen must be tested—first in an offline simulation, then among a tiny group of Facebook employees, then on a small fraction of all Facebook users—before it goes live.

Diagnostic tools are set up to detect an abnormally large change on any one of these crucial metrics in real time, setting off a sort of internal alarm that automatically notifies key members of the news feed team. If the team is what does kennenlernen mean that the change is a positive one, free of unintended consequences, the engineers in charge of the code on the iOS, Android, and Web what does kennenlernen mean will gradually roll it out to the public at large.

Presumably, however, the superhiders of the world are now marginally more satisfied with their news feeds, and thus more likely to keep using Facebook, sharing stories with friends, and viewing the ads that keep the company in business. But there is one other group of humans that Facebook is turning bekanntschaften winterberg more and more as it tries to keep the news feed relevant: The survey that Facebook has been running over the past six months—asking a subset of users to choose their favorite among two side-by-side posts—is an attempt to gather the same sort of data from what does kennenlernen mean much wider sample than is possible through the feed quality panel.

The algorithm is still the driving force behind the ranking of posts in your feed. But Facebook is increasingly giving users the ability to fine-tune their own feeds—a level of control it had long resisted as onerous and unnecessary. Facebook has spent what does kennenlernen mean backpacking thailand leute kennenlernen working on improving its ranking algorithm, Mosseri says.

What do you not want to see? Which friends do you always want to see at the top of your feed? Those are now what does kennenlernen mean that Facebook allows every user to answer for herself. How to do all of these things is not immediately obvious to the casual user: You have to click a tiny gray down arrow in the top right corner of what does kennenlernen mean post to see those options. Most people never do. But as the limitations of the fully automated feed have grown clearer, Facebook has grown more comfortable highlighting these options via occasional pop-up reminders with links to explanations and help pages.

It is also testing new ways for users to interact with the news feed, including alternate, topic-based news feeds and new buttons to convey reactions other than like. The shift is partly a defensive one. Instagram, which Facebook acquired in in part to quell the threat posed by its fast-growing popularity, simply shows you every photo from every person you follow in chronological order.

Facebook is not the only data-driven company to run up against the limits of algorithmic optimization in recent years. It would be premature to declare the age of the algorithm over before it really began, but there has been a change in velocity.