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@mrjyn

July 22, 2010

MyStudiyo - What Gets Me Hot?

VIDEO Archive Roundup See Ya At What Gets Me Hot Feb 15, 2009

Pachinko 0823305500 mrjyn HONORED, I'M PRETTY SURE!

(Posterous video) Tony Alamo: America's Most Wanted Evangelist

 

(download)

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(Video) Posterous Autopost. Now Simpler than Ever (but are you sure that's the right word: I'm thinking: "over time its elegance will show itself like a math problem")

(Video) Posterous Autopost. Now Simpler than Ever (but are you sure that's the right word: I'm thinking: "over time its elegance will show itself like a math problem")

Over the past few months, we've had a lot of great interactions with our users --- you've sent in your tweets and emails, and we've read every single one (in fact, if you emailed Posterous yesterday, you probably got a response from Jackson, our user experience lead). We've heard a lot from you about how much you love the ease of posting to your different sites and we've also heard a lot of your feedback about how to make autoposting even better. 

Using your feedback, we reimagined a new interface for our Autopost feature. In the new design, we give you more control over where your posts are published and who can publish them. We've focused on this aspect because all of us have different social groups; we might have a company softball team with its own Posterous blog and Flickr account, and we might have a personal food blog that we'd like to connect to a Twitter profile. We don't want posts to our food blog to end up on our softball team's Flickr, and vice versa. 

With these updates, managing multiple Posterous sites and their associated autopost destinations is much simpler and more intuitive. You can easily link a specific autopost destination to a Posterous site. As the site owner, you can share your autopost sites with your site's contributors, allowing them to post to your Facebook or Twitter account. All of these improvements make autoposting more intuitive, especially for collaborative blogs among teams, classmates, and friends. 

To help you check out these updates, Jackson and Alexa made a few screen casts -- Autopost Basics and  What's New for Advanced Users.  Check them out! 

 

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Wordle Dogmeat

Paste this code into your blog or home page to link to this Wordle:

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How You Can Build the Soundtrack to Life In A Day (please god, don't let me use the YouTube API for Evil)

口業 - 维基百科,自由的百科全书

维基百科,自由的百科全书

跳转到: 导航, 搜索

口業造口業佛教經典的一種,屬於意業。以白話說:就是指因為語言導致的不良因果。根據佛教說法,口業大致分為惡口、妄語、綺語和兩舌。

其中,惡口指的是不斷謾罵、無根由的詛咒。妄語指的是說出毫無根據的謊話,將其是非顛倒,亂引經典;令人真假莫辨。綺語是不真懇地說出讚美;而兩舌則是利用機會在兩人之間道長話短並搬弄是非,最終目的在於挑撥離間,破壞當事人的處事和諧。

佛教經典認為:在日常生活中,犯了這四項口業,其惡口傷害了對方感情,妄言破壞了當事人人格,而搬弄是非及綺語亦使彼此相處無法真誠對待。最大口业是谤密與謗金剛上師,比五无间罪(五逆)更重。

[编辑] 參考資料

慈濟資訊網

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NEW! Posterous Dogmeat Random China Wiki Possum Poster

Share on Posterous

via Random China Wiki Possum Poster zh.wikipedia.org

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(VIDEO) "Money can not buy happiness" said Apple Daily Cartoon (I think this is about a rich guy who gave it away...or Tiger Woods?)

Karl Rabeder "money can not buy happiness" said: "Money will be happy to stop coming"

http://hk.apple.nextmedia.com/
Apple moving news: http://hk.apple.nextmedi a.com / although often heard that "money can not buy happiness" is always the money no one will be too many. 但奧地利47歲富豪拉伯德( Karl Rabeder)卻是個例外。 However, Austria 47-year-old Regal La Bode (Karl Rabeder) is an exception. 他有錢不快樂,逐步變賣他的豪宅和生意,把所有財富捐做善事。 He was unhappy rich, gradually sell his mansion and businesses to donate to charity all the wealth. 他說:「金錢只會阻止快樂來臨。」 He said: "Money will be happy to stop coming."

雖然經常聽說「錢買不到快樂」,始終錢沒有人會嫌多。但奧地利 47歲富豪拉伯德( Karl Rabeder)卻是個例外。他有錢不快樂,逐步變賣他的豪宅和生意,把所有財富捐做 善事。他說:「金錢只會阻止快樂來臨。」

(VIDEO) "Money can not buy happiness" said: Apple Daily Cartoon: Keywords: Beach,Cash,Happy (I think this is about a rich guy who gave it away...or Tiger Woods?)

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买 site:whatgetsmehot.blogspot.com - Google 搜索

Loading Wonder Wheel (Always) 买 site:whatgetsmehot.blogspot.com - Google 搜索

mai site:whatgetsmehot.blogspot.com - Google 搜索

您是不是要找: site:whatgetsmehot.blogspot.com   site:whatgetsmehot.blogspot.com   site:whatgetsmehot.blogspot.com  

搜索结果

  1. What Gets Me Hot: (Video+Photo) 90-64-90 Beijing Model Mayi Na ...

     - [ 翻译此页 ]
    Jun 11, 2010 ... Jiangsu TV intimate dating show, "If you're" made a star Xie Jia, Mano, Yan Feng Jiao, Mai microphone, flute and other characters that look ...
    whatgetsmehot.blogspot.com/.../videophoto-90-64-90-beijing-model-mayi.html - 网页快照
  2. " If You Are "11 big scandal Mayi Na bath according to Top 11 ...

     - [ 翻译此页 ]
    Jun 29, 2010 ... Phase Bi Mayi microphone , the author prefers Yan Feng Jiao , Yan Feng Jiao long have felt it better , and better character , look no Mai is ...
    whatgetsmehot.blogspot.com/.../if-you-are-big-scandal-mayi-na-bath.html - 网页快照
  3. What Gets Me Hot: Friday, May 7, 2010

     - [ 翻译此页 ]
    May 7, 2010 ... L'apéro géant Facebook débarque à Agen le 29 mai ... Rendez-vous est pris pour le 29 mai, de 19h30 à 22h30, «aux pieds de Jasmin» sur la ...
    whatgetsmehot.blogspot.com/2010_05_07_archive.html - 网页快照
  4. Anal Sex (Part preparation) Take a picture! | What Gets Me Hot

     - [ 翻译此页 ]
    The Butterfly and Juliet singer Genie、Gary) * Boys defeated Song Unfortunately not you singer Fish Leong) Show guests * Female guests Mai Mi Mano * Male ...
    whatgetsmehot.blogspot.com/.../anal-sex-part-preparation-take-picture.html - 网页快照
  5. What Gets Me Hot: Tuesday, June 29, 2010

     - [ 翻译此页 ]
    Jun 29, 2010 ... Phase Bi Mayi microphone , the author prefers Yan Feng Jiao , Yan Feng Jiao long have felt it better , and better character , look no Mai is ...
    whatgetsmehot.blogspot.com/2010_06_29_archive.html - 网页快照
  6. What Gets Me Hot: Haitian Zombies: Story of Clairvius Narcisse ...

     - [ 翻译此页 ]
    Mar 9, 2010 ... Clairvius Narcisse ore ete deklare mort le 2 Mai 1962 des swit d'une malkadi à l'Hôpital Deschapelles à Haiti. Il ore enterré ete dans le ...
    whatgetsmehot.blogspot.com/.../haitian-zombies-story-of-clairvius.html - 网页快照
  7. What Gets Me Hot: 2009 Résumé à l'intention Sea of Shoes et Jane ...

     - [ 翻译此页 ]
    En Mai ma maman et j'ai fait une séance photo pour Vogue (le numéro d'août) ... être dans une remorque Vogue jam-packed prochaines saisons avec des ...
    whatgetsmehot.blogspot.com/.../2009-resume-lintention-sea-of-shoes-et.html - 网页快照
  8. What Gets Me Hot: Thursday, May 27, 2010

     - [ 翻译此页 ]
    May 27, 2010... LOVIN MAG MAGIE MAI MARATHON MARIE MARIN MARKED MARRIED MASTERS MATTHIAS MEAN MED MEETS MELT MESTERE MEXIQUE MILITARIAT MILLER MILLIERS ...
    whatgetsmehot.blogspot.com/2010_05_27_archive.html - 网页快照
  9. Rolling Stones New French Exile on Main Street TV | What Gets Me Hot

     - [ 翻译此页 ]
    Date officielle de sortie du clip : 12 Mai 2010. Hotted Up by YouWeird Tube. Newer Post Older Post Home. My Icon Status. Blog Archive. ▼ 2010 (2318) ...
    whatgetsmehot.blogspot.com/.../rolling-stones-new-french-exile-on-main.html - 网页快照
  10. La multi ani, mrjyn! Trilulilu Video Romania, Google and Facebook ...

     - [ 翻译此页 ]
    Pentru ca esti sarbatoritul zilei, mai ai din partea noastra si un cupon de 15% reducere in Trilulilu Shop, pe care il poti folosi in urmatoarele 10 zile. ...
    whatgetsmehot.blogspot.com/.../la-multi-ani-mrjyn-trilulilu-video.html - 网页快照

您是不是要找: site:whatgetsmehot.blogspot.com   site:whatgetsmehot.blogspot.com   site:whatgetsmehot.blogspot.com  

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    (video) Chouchou Electric Butterfly in Jar - CScout Japan 瓶の中を動く蝶々がリアルで凄い!!と海外で話題に。:カラパイア

    【ChouChou: electric butterfly in a jar】

    日本から世界に向けて発信(発売)する海外サイトでは、77ドル(6480円)でプレ予約を受付中。日本でも3000円で販売予定なのだそうだ。
    ChouChou Butterfly:Flying butterfly in jar

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    Mermaid Corpse Dropped off at the Starbucks 人魚の腐乱死体が横たわっている!?(イギリス):カラパイア

    【Mermaid Corpse Dropped Off In Front of UK Starbucks】(via WTBW))

    Mermaid-1


     実はこれ、イギリスで開催中のアートフェスティバルの一環なのだそうで、アーティスト、ローラ・キーブル氏によって作製、設置されたものなんだそうだ。

    Mermaid-2


     この人魚、2.3時間後にスターバックスのスタッフにより撤収されるまで、行き交う人々の度肝を抜いていたんだそうだ。

     テーマは、コーヒーの海で溺れる人魚なんだとか

    Mermaid-3


    Mermaid-4

     スタバのロゴの今と現在
    スタバロゴ


     モチーフとなった人魚、セイレーン
    セイレン


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    もしも宇宙飛行士が地球上で生活していたら?

    All FARCed Up: Commander Sentenced To 27 Years In Prison For Conspiring To Import Tons Of Cocaine Into The United States

     
    JUL 22 -- (Manhattan, NY) - JOHN P. GILBRIDE, the Special Agent-in-Charge of the Drug Enforcement Administration's New York Field Division ("DEA") and PREET BHARARA, the United States Attorney for the Southern District of New York, and, announced that GERARDO AGUILAR RAMIREZ, a/k/a "Cesar," a former front commander in the Fuerzas Armadas Revolucionarias de Colombia (Revolutionary Armed Forces of Colombia, or "FARC"), was sentenced today to 27 years in prison for conspiring to import ton-quantities of cocaine into the United States. The FARC -- which has been designated by the U.S. State Department as a Foreign Terrorist Organization – is Colombia's main leftist rebel group and is the world's leading cocaine manufacturer, responsible for the production of nearly two-thirds of the cocaine imported into the United States. AGUILAR RAMIREZ was sentenced by United States District Judge THOMAS F. HOGAN in District of Columbia federal court.


    FOR IMMEDIATE RELEASE
    July 22, 2010
    Erin Mulvey
    Public Information Officer
    212 337-2906

    Top FARC Commander Sentenced To 27 Years In Prison For Conspiring To Import Tons Of Cocaine Into The United States

    JUL 22 -- (Manhattan, NY) - JOHN P. GILBRIDE, the Special Agent-in-Charge of the Drug Enforcement Administration's New York Field Division ("DEA") and PREET BHARARA, the United States Attorney for the Southern District of New York, and, announced that GERARDO AGUILAR RAMIREZ, a/k/a "Cesar," a former front commander in the Fuerzas Armadas Revolucionarias de Colombia (Revolutionary Armed Forces of Colombia, or "FARC"), was sentenced today to 27 years in prison for conspiring to import ton-quantities of cocaine into the United States. The FARC -- which has been designated by the U.S. State Department as a Foreign Terrorist Organization – is Colombia's main leftist rebel group and is the world's leading cocaine manufacturer, responsible for the production of nearly two-thirds of the cocaine imported into the United States. AGUILAR RAMIREZ was sentenced by United States District Judge THOMAS F. HOGAN in District of Columbia federal court.

    DEA Special Agent-in-Charge JOHN P. GILBRIDE stated: "Gerardo Aguilar Ramirez conspired to manufacture and distribute thousands of kilograms of cocaine in the United States to fuel the FARC's narco-terrorist mission. Ramirez violently commanded the 1st Front for over 10 years until his arrest and today he has been sentenced and will pay for his crimes against American and Colombian citizens who have seen the damages of cocaine trafficking and abuse throughout both our nations. I commend the diligent and brave work of the U.S. Attorney's Office for the Southern District of New York, the Organized Crime Strike Force, DEA's Bogota Country Office, and the Colombian government."

    According to the Superseding Indictment filed in District of Columbia federal court, other documents filed in this case, and statements made in court:

    The FARC, which occupies large swaths of territory in Colombia, is a hierarchical organization which, at its height during the time of the conspiracy, was comprised of 12,000 to 18,000 members. At the lowest level, the FARC is made up of 77 distinct military units, called Fronts, organized by geographical location. These in turn are grouped into seven "blocs."

    AGUILAR RAMIREZ was the commander of the FARC's 1 st Front and was ultimately responsible for all of that Front's criminal activities. Among other things, AGUILAR RAMIREZ conspired with others to manufacture and distribute thousands of tons of cocaine in Colombia, with the knowledge and intent that such cocaine would be imported into the United States.

    In late 2001 or early 2002, the FARC leadership, including AGUILAR RAMIREZ, participated in a meeting in which they further resolved, among other things, to: increase cocaine trafficking routes overseas, including to the United States; establish better ways to exchange cocaine and cocaine paste for weapons; and to pay more to campesinos for cocaine paste.

    For full story please visit us at www.DEA.gov.


     

    http://www.usdoj.gov/privacy-file.htm" title="" target="_blank">Department of Justice Privacy Policy
    http://www.govdelivery.com/privacy/" title="" target="_blank">GovDelivery Privacy Policy

    U.S. Department of Justice · 950 Pennsylvania Ave., NW · Washington, DC 20530 · 800-439-1420

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    michael jackson gunsmith 9 words most pop tag cloud

    July 21, 2010

    (video) Human Computation, ESP and Google Image-Labeller Sex Slaves!

    If you haven’t tried Google’s image labeling game, I beg that you not try it.--Nas Raja

      Human Computation and the Story of Google Image Labeller Slaves

     ...the ESP Game, described in this talk, is an enjoyable online game --  many people play over 40 hours a week -- and when people play, they help label images on the Web with descriptive keywords. These keywords can be used to significantly improve the accuracy of image search. People play the game not because they want to help, but because they enjoy it. -- Luis von Ahn, Game Creator  

    Note:  Game inspired by ESP Game created by Luis von Ahn , Carnegie Mellon-- licensed BY Google   .)

     

     

    Human

    top of page

      Computation

     
    and the

     

     

    Story  

     
    of

     
    Google  
    Image-Labeller
     

     Sex


    1. Slaves

      !

    Google Image Labeler Game

    Your partner has suggested 18 labels.

    off-limits
    cat
    kitten
    kitty
    cute

    my labels
    im just wondering if you saw
    the video about this process
    and how we get to be unpaid

    September 1, 2006


    You have 90 seconds for you and a partner to agree on words to describe as many images as possible. At first you think, “90 seconds? That’s nothing.” So you play. And you play again. And then you look up and it’s 4pm and you’re almost on the leaderboard, so you play a little more. I beg of you–stay the hell away from this game. For god’s sake, I mean it. And if you beat my record of eight images in 90 seconds, please don’t post it here to brag. Not even a little bit.

     

    (Note, this game is inspired by the ESP Game created by Luis von Ahn, and I believe Google licensed the game from Carnegie Mellon.)

    Webspam projects in 2010? http://www.mattcutts.com/blog/

    Hey Matt
    A few things I suggest (many of these you probably have already implemented in some way) Note: As I type this, I realize the more I type about ways to prevent webspam on searches, the better understanding I have for good content. Weird.

    1. Put more weight on retweeted links on Twitter. You are more than likely doing this already in some way, but just to throw my .2 cents most people will not retweet something they personally don’t approve of. Of course there will be spam accounts and retweet wheels, but you can easily discredit that by the number of followers/history of profile they have and strength of them (current Twitter PR on each profile).

    Another thing with Twitter is, maybe even note in the retweets that aren’t necessarily links. Maybe if you see something being mentioned a lot (not an active link, just text), you can search thru their previous or future tweets for a link to what they are talking about. There are a lot of good stuff people refer each other to on twitter from retweets that don’t have a link, but it should in some way send credit to that site?

    2. Associate, record, and apply a brand or company name to a set of keywords. I don’t know if you guys do this or not, but many times when folks find something good; they will try to search for it by the genre or niche it was in (general broad keyword terms). Often times, the rankings are cluttered with junk that wasn’t what they were looking for. After they see the results aren’t what they are looking for, so they re-enter a broad keyword term with an attempted spelling of the name or brand of the website they can best remember. Even then it doesn’t pop up; if there was a way to associate some brand and names to certain keywords and google could figure it out, that would save out the junk and rank those pages that people truly find better up towards the front of Serps. Maybe even Google be able to credit brand/company name mentions on sites (even though they aren’t links, just the word) and it acts like a link, not as much, but gives some credit back to the site where it came from.

    3. Less weight on useless mini-sites that are one pagers with barely any info. Unless it’s a really good site or the best out of a niche where there’s hardly any info; I’ve seen numerous exact keyword one page blogs that outrank a ton of really good, content filled sites.

    4. People are still trying to create link wheels using social bookmark sites, some are even succeeding with useless articles that help no one.

    5. Add weight to sticky threads on trust worthy forums. These things have a ton of good helpful info. And highly moderated, but I sometimes see those useless 1 page blogs come up before these.

    6. Less weight on exact keyword domains. Yeah, even though I slick have one myself, these things are just eating up good space where better sites can show for searchers. Don’t get me wrong, some (like me) have great content and a great site built on it, so please don’t discredit that, but a lot of these sites are just junk. One or two pages with keyword density out of kazoo and a $5 non-helpful article they bought from someone in India that only describes what the definition of that keyword is and nothing more to benefit the reader. If people want summarizes/definition, wikipedia is alot better for this.

    But these mostly one pagers are mini sites and just another doorway page. And now with domains going for $1 sales, super easy to set up hundreds of pages. They just flood up the top search space with spam. Not nearly what the Google users truly want.

    7. Paid links. You guys are definitely working hard on this, but there are some that are blatant obvious are paid for links. Those claiming to be text link brokers, etc. are all paid links in my honest opinion. These links are weighing a lot and enough to manipulate these spam sites to the top. These spam sites then make revenue and able to pay for more links. So the rich get richer, and poor get poorer in rankings, and there are lots of sites out there that will help searchers a lot better. I am even at odds with Yahoo directory links; it’s a paid link. People understand they will get no traffic and only buy it purely for the SEO factor.

    Right now, the thing I have been approached with a lot is emails from companies to host an “ad link” on their site. And when you ask they can they be ‘no follow’, of course they say their policy is no. And they pick the page with high PR. They stay low key with their operations though, so you have to find the sites that are all connected.

    8. Kind of a personal rant here, but less weight on older sites in the “software” niche. Almost everything is going towards web based (as it should) and these older, crappier software sites still dominate search results. It doesn’t give us a chance to be able to give to the world a looott better software to the world. I bet millions of searches are done to find software, and people give up because they can’t find something ‘good enough’ that works great within our times of today (people expect great web apps now a days). But these good, newer, better sites just sit back behind the old, stagnant sites. For example, my site and web app employee-scheduling.com is leap years better than what comes up when you search for employee scheduling software but old, stagnant, download software sites show up. My site is all white hat (seomoz advice dear to heart, using exact keyword domain only because it’s so easy to remember for business managers), great content blog here, and site written for users, but having trouble climbing up. Granted, it’s still early and hopefully things will change as I go public launch (in private beta) and get more people talking. But I spent 8 full months making this good for the ‘end user’ and so hopefully that pays off in the end and Google will eventually follow?

    Sorry for talking your ear off Matt, but I hope this helps at least some. You and your team probably are highly aware of these already, but maybe I (spent an hour writing this!) sent some helpful perspective and insight.

    Sincerely,
    James F.

    # ^ Nas Raja in Matt Cutts: Gadgets, Google, and SEO http://www.mattcutts.com/blog/google-image-labeler-game/#comment-87075 Nas Raja in Matt Cutts: Gadgets, Google, and SEO http://www.mattcutts.com/blog/ WATCH out guys …. sometimes the image are offensive, I was playing with my wife and I see this cartoon where the gal is sitting down n guy is standing obviously they r nude so i had to guess … and my partner said “sex” eventhough i was more precise :) …. Google how can we avoid showing such images or filter ..?? Maybe thats why u guys came up with this game … lol Myles September 17, 2006 at 9:45 am top ranking of the day… 12 in 90s Jagadish September 26, 2006 at 3:31 pm I scored 12 today too ..ha ha ha :) I discovered there is this labelling thing today and needless to say I am addicted. I agree with what Bradley had written that people tend to over-generalize objects, events and things. Tagging images with labels like man and woman easily matches my partners and I dislike doing that even though I like to score more…Thanks but no thanks to Google.. Nas Raja September 28, 2006 at 1:46 pm Matt, You guys probably already know this: There are ALREADY attempts to spam the image labeler. I was just now getting strange labels from players such as “carcinoma, accretion, bequeathing” etc. – for images that had absolutely nothing to do with these relatively rare usage words. emma October 5, 2006 at 1:19 pm i heard jo whiley of bbc radio 1 talking about this and thought i would have a look, i wish i hadnt, i was nearly late picking my kids up from school as im addicted. ezcept for coming across the spam numerous times today, what is the point loving it Tobora Bender October 26, 2006 at 5:24 am To Nas Raja: Nas – it’s funny to see how so double-standard and hypocritical your opinion is… On one hand, if Google decides to exploit millions of people by using a tool that automates the costly annotation data collection process without paying a dime – it is fine and dandy… However, if someone else starts using a tool that automates the one used by Google – it is immediately called spam and abuse by Mr/Mrs Nas Raja! Do you really think the the spammers would want to use just a simple set of easily filterable keywords?… Congratulations, Nas – you are a golden standard of fair, unbiased and objective judgement towards Google and everybody else! Tobora Nas Raja October 31, 2006 at 5:55 pm

    Posted via email from Dogmeat

    Human Computation and the Story of Google Image Labeller Slaves


    Human Computation and the Story of Google Image Labeller Slaves

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    Author image not provided

     



    ABSTRACT

    Tasks like image recognition are trivial for humans, but continue to challenge even the most sophisticated computer programs. This talk discusses a paradigm for utilizing human processing power to solve problems that computers cannot yet solve. Traditional approaches to solving such problems focus on improving software. I advocate a novel approach: constructively channel human brainpower using computer games. For example, the ESP Game, described in this talk, is an enjoyable online game - many people play over 40 hours a week - and when people play, they help label images on the Web with descriptive keywords. These keywords can be used to significantly improve the accuracy of image search. People play the game not because they want to help, but because they enjoy it.



    AUTHORS

    Luis von Ahn


    Author image not providedBibliometrics: publication history
    Publication years2003-2009

    Publication count22

    Citation Count421

    Available for download15

    Downloads (6 Weeks)466

    Downloads (12 Months)3,448

    View colleagues of Luis von Ahn

    top of pageabstract

    REFERENCES

    CITED BY


    top of pageINDEX TERMS

    Primary Classification:
    I. Computing Methodologies

    I.2 ARTIFICIAL INTELLIGENCE
    I.2.m Miscellaneous
    top of pageINDEX TERMS

    top of pagePUBLICATION

    TitleK-CAP '07 Proceedings of the 4th international conference on Knowledge capture table of contents
    EditorsDerek Sleeman University of Aberdeen, UK

    Ken Barker University of Texas at Austin
    Pages5 - 6
    Sponsors SIGART ACM Special Interest Group on Artificial Intelligence

    ACM Association for Computing Machinery
    PublisherACM New York, NY, USA ©2007

    ISBN: 978-1-59593-643-1 Order Number: 607070 doi>10.1145/1298406.1298408
    Paper Acceptance Rate20 of 60 submissions, 33%

    Human Computation

    51:31 - 3 years ago

    Google TechTalks July 26, 2006 Luis von Ahn is an assistant professor in the Computer Science Department at Carnegie Mellon University, where he also received his Ph.D. in 2005. Previously, Luis obtained a B.S. in mathematics from Duke University in 2000. He is the recipient of a Microsoft Research Fellowship. ABSTRACT Tasks like image recognition are trivial for humans, but continue to challenge even the most sophisticated computer programs. This talk introduces a paradigm for utilizing human processing power to solve problems that computers cannot yet solve. Traditional approaches to solving such problems focus on improving software. I advocate a novel approach: constructively channel human brainpower using computer games. For example, the ESP Game, described in this talk, is an enjoyable online game -- many people play over 40 hours a week -- and when people play, they help label images on the Web with descriptive keywords. These keywords can be used to significantly improve the accuracy of image search. People play the game not because they want to help, but because they enjoy it. I describe other examples of "games with a purpose": Peekaboom, which helps determine the location of objects in images, and Verbosity, which collects common-sense knowledge. I also explain a general approach for constructing games with a purpose. Google TechTalks July 26, 2006 Luis von Ahn is an assistant professor in the Computer Science Department at Carnegie Mellon University, where he also received his Ph.D. in 2005. Previously, Luis obtained a B.S. in mathematics from Duke University in 2000. He is the recipient of a Microsoft Research Fellowship. ABSTRACT Tasks like image recognition are trivial for humans, but continue to challenge even the most sophisticated computer programs. This talk introduces a paradigm for utilizing human processing power to solve problems that computers cannot yet solve. Traditional approaches to solving such problems focus on improving software. I advocate a novel approach: constructively channel human brainpower using computer games. For example, the ESP Game, described in this talk, is an enjoyable online game -- many people play over 40 hours a week -- and when people play, they help label images on the Web with descriptive keywords. These keywords can be used to significantly improve the accuracy of image ...all » Google TechTalks
    July 26, 2006

    Luis von Ahn is an assistant professor in the Computer Science Department at Carnegie Mellon University, where he also received his Ph.D. in 2005. Previously, Luis obtained a B.S. in mathematics from Duke University in 2000. He is the recipient of a Microsoft Research Fellowship.

    ABSTRACT
    Tasks like image recognition are trivial for humans, but continue to challenge even the most sophisticated computer programs. This talk introduces a paradigm for utilizing human processing power to solve problems that computers cannot yet solve. Traditional approaches to solving such problems focus on improving software. I advocate a novel approach: constructively channel human...

    Google TechTalks July 26, 2006 Luis von Ahn is an assistant professor in the Computer Science Department at Carnegie Mellon University, where he also received his Ph.D. in 2005. Previously, Luis obtained a B.S. in mathematics from Duke University in 2000. He is the recipient of a Microsoft Research Fellowship. ABSTRACT Tasks like image recognition are trivial for humans, but continue to challenge even the most sophisticated computer programs. This talk introduces a paradigm for utilizing human processing power to solve problems that computers cannot yet solve. Traditional approaches to solving such problems focus on improving software. I advocate a novel approach: constructively channel human brainpower using computer games. For example, the ESP Game, described in this talk, is an enjoyable online game -- many people play over 40 hours a week -- and when people play, they help label images on the Web with descriptive keywords. These keywords can be used to significantly improve the accuracy of image search. People play the game not because they want to help, but because they enjoy it. I describe other examples of "games with a purpose": Peekaboom, which helps determine the location of objects in images, and Verbosity, which collects common-sense knowledge. I also explain a general approach for constructing games with a purpose.



    Human Computation and the Story of the Google Image Labeller Slave Machine


    Google Image Labeler (i went for kitty after I tried to communicate with my partner and got shut down) stay tuned for my Google Image Labeler Slave Story)

    http://whatgetsmehot.posterous.com/google-image-labeler-i-went-for-kitty-after-i

    Your partner has suggested 18 labels.

    off-limits
    cat
    kitten
    kitty
    cute

    my labels
    im just wondering if you saw
    the video about this process
    and how we get to be unpaid

    http://whatgetsmehot.posterous.com/welcome-to-google-image-labeler-slave-machine

    http://www.google.com/search?q=Google+TechTalks+July+26%2C+2006&ie=utf-8&oe=utf-8&aq=t&rls=org.mozilla:en-US:official&client=firefox-a

    Welcome to Google Image Labeler Slave Machine (video at 11)


    http://images-partners-tbn.google.com/images?q=tbn:r7_0Y1BzCRcDuM:www.google.com



    How does it work?

    You'll be randomly paired with a partner who's online and using the feature. Over a two-minute period, you and your partner will:
    • View the same set of images.
    • Provide as many labels as possible to describe each image you see.
    • Receive points when your label matches your partner's label. The number of points will depend on how specific your label is.
    • See more images until time runs out.

    After time expires, you can explore the images you've seen and the websites where those images were found. And we'll show you the points you've earned throughout the session.

    Tips:

    • You may click the "pass" button if you can't think of any more labels for an image. If you and your partner both click "pass," you'll see the next image but receive no points for the passed image
    • You'll receive more points for matches with more descriptive labels. For example, this image can be described by the labels: sky (50 points), bird (60 points), soaring (120 points), or frigate bird (150 points).

    What do you need to participate?

    Just an interest in helping Google improve the relevance of image search for users like yourself. If you log in to your Google account, we will keep track of your points for you. You may also enter a nickname, but we do not require either a nickname or a login to use Google Image Labeler.
    You and a guest failed to match on any images.
    Start Again
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    Thanks for your contribution. It will help us improve the relevance of image search results so that you and other Google users can quickly and easily find the results you're looking for. To find out more about the images that you labeled and the sites they came from, click on any of the images below.

    Images labeled - Click on any image below to find out more
    331 x 300 pixels
    passed
    www.imooch.com