[詩戀] 櫓聲盪入雲水

嘉慶十七年，龔自珍返回故鄉杭州，泛舟西湖，賦詞《湘月》述懷。論者對定盦詩文中簫與劍的意象闡述多矣，余借他人酒杯，澆自家塊壘 ，解語者定然笑我非計。千言萬般，櫓聲盪入雲水，何時忘卻營營？

天風吹我 墮湖山一角 果然清麗

曾是東華生小客 回首蒼茫無際

屠狗功名 雕龍文卷 豈是平生意

鄉親蘇小 定應笑我非計

才見一抹斜陽 半隄香草 頓惹清愁起

羅襪音塵何處覓 渺渺予懷孤寄

怨去吹簫 狂來說劍 兩樣銷魂味

兩般春夢 櫓聲盪入雲水

綠意

[Video] Stand By Me

[詩戀] 借他人酒杯，澆胸中塊壘

節前趕集，等待魚販料理魚蝦，躲在暗隅讀推，見老貓與王佩隔空機鋒，興味盎然，待見得太后詔諭：「住口，別以為我沒上堆就不知道你們這些曲折的腦袋在想啥。借他人酒杯，澆胸中塊壘，一樣是共犯。」，亟欲尋一酒杯自澆塊壘。

嘉慶 25 年（西元 1820 年），龔自珍做《又懺心一首》：

佛言劫火遇皆銷 何物千年怒若潮

經濟文章磨白晝 幽光狂慧復中宵

來何洶湧須揮劍 去尚纏綿可付簫

心藥心靈總心病 寓言決欲就燈燒

既是借他人酒杯，澆胸中塊壘，就不需追究此心病是否彼心病了。曲折的腦袋曰：「屠狗功名，雕龍文卷，豈是平生意」。

How recommender researchers test their algorithm and make the system smarter?

FastCompany 今日介紹 RichRelevance 首席科學家 Darren Vengroff想出一個讓研究人員測試推薦系統演算法的方法，其實這個點子很簡單，將真實世界的資料包裝成一個黑箱，讓研究者上傳程式，使用這個機制測試演算法的好壞。

There are many holy grails in online commerce, but one that has frustrated C-level executives and engineers alike is how to produce better recommendation algorithms. Produce better recommendations, and you’ll sell more stuff.
Historically, however, there has been one major structural impediment to making significant breakthroughs on this front. But the Chief Scientist at RichRelevance, which provides personalization solutions for the likes of Walmart, Sears, and Overstock.com, may just have fixed that. 

First, however, the impediment: The people who are likely to produce breakthroughs--the really smart smarty-pants in the math departments of the world’s universities--don’t have access to large bodies of real-world data. And without real-world data, they can come up with as many hypotheses and new types of math as they like, but they’ll never really know if it actually works in the real world. It’s like trying to learn how to serve without tennis balls. You can swing as much as you like, but until you actually hit a real-live ball, you can never be sure if your swing would actually place a ball in the serve box. 

For their part, the people who have real-world data--the Amazons and eBays of the world--can’t share it with the researchers for reasons of customer privacy. “Even if we anonymize it, we’re handcuffed because we can’t give out data that can be reasonably be used to reconstruct who someone really is,” the Chief Scientist, Darren Vengroff, tells Fast Company.

Vengroff, however, has come up with a novel solution: He’s created a “black box” of sorts with real-world data that researchers can use to run experiments on. Researchers won’t be able to look at the data, but they will be able to dump their algorithms in and have the box spit out results, which the researchers can then use to refine their hypotheses. 

It’s a simple idea, but it wasn’t really possible to execute until the advent of the cloud. Now researchers from any part of the globe will be able to use the system to run experiments. (In principle, of course--in practice, a committee will vet proposals and choose which ones will actually run.) 

Vengroff, who once worked as a Principal Engineer at Amazon, says he got the idea for the project while attending a computing conference last fall. “In one of the sessions, there were three consecutive papers in a row where about two-thirds of the way through, I was really excited about what was being presented, and then they went down a different path than I thought they were going to go,” he says. “I realized if they only knew what the real-live data, that I look at every day, says, they wouldn’t have gone that way. They would have gone the right way and gotten to a much better solution.”

“Seeing these brilliant ideas get misapplied because of a very reasonable assumption about how shoppers might shop, but happens not to be true in the empirical data--I realized we’ve got to find a way to have this not happen anymore.” 

The system, which is in beta right now, will launch next month at conference in Palo Alto. Says Vengroff: “We’ve got a significant new path that we think is really going to change things.”
E.B. Boyd is FastCompany.com’s Silicon Valley reporter. Follow me on Twitter, or email me.

via fastcompany.com

Posted via email from imrchen's posterous

[Video] 之死靡他

死了都要改，不推翻重來不痛快！

宇宙毀滅，甲方還在！

Daily Murmur 2011/01/27

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