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"Mr. Hunt said NetFlix's recommendation system collected more than two million ratings forms from subscribers daily to add to its huge database of users' likes and dislikes. The system assigns different ratings to a movie depending on a particular subscriber's
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From a dialogue between Jonathan Zittrain, a professor of Internet law at Harvard Law School, and Mark VandenBrink, who leads Frog Design, conducted by Mr. Sherr and Mr. Totty. URL = http://online.wsj.com/article/SB10001424052970204554204577023994194742720.html
"WSJ: For companies seeking to launch a new digital product, which is better: an open platform or a closed one? MR. ZITTRAIN: Open platforms tend to offer greater flexibility, and by making the use of a new digital product or service more flexible, a company can court far more usage and mind share. For example, Twitter could have insisted from the ...
Closed Ecosystems can only win if all others loose
By Paul Miller: "I think the dominant trend in the industry right now is what I'd call the "Apple Way." Apple has always loved having its closed off little ecosystems that frustrated and delighted users, usually in equal measure. With the iPod, however, Apple had a closed off big ecosystem. The iPod was basically a monopoly in the portable listening space for nearly a decade — in the world of dedicated music players, it still is. Apple's approach to an ecosystem like the iPod / iTunes juggern...
The alternative of Closed ecosystem that can proliferate across platforms or devices and benefits everyone who participates
By Paul Miller: "If a company is in the position to build an iPod-style monopoly, I can't blame them for trying (as much as I'll resist it and fight for an alternative), but most companies aren't in that position. So, instead of dooming their future by betting it all on a standard that can't hope to win, I think there are two solid options for most for-profits among us. 1. Build an "open" standard that grows and benefits the entire industry. or 2. Build a "closed" ecosystem that can prolifera...
2009年7月28日 · Amazon and Netflix are able to offer us recommendations based on our (implicit) browsing, (implicit) buying and (explicit) rating behavior and comparing it to the behavior of other people like us. eBay and Amazon assign ratings to sellers and reviewers
For example, Netflix can take advantage of the user data to personalize movie recommendations. Newsvine can use the user's OPML to personalize news and Google can use the data to prioritize and filter their search results.
2019年1月2日 · Because they will use it for consumer profiling, all the better to send you targeted advertising. They will also use it to try and streamline our future customer experiences through predictive analytics—the same tools that allow Amazon and Netflix to suggest that
This form is most common with solving complex problems such as the X-Prize or seeking out a better recommendation algorithm for Netflix. (http://www.businessesgrow.com/2011/08/31/the-top-five-crowdsourcing-mega-trends/)
Amazon, Alphabet, Google, Microsoft, Apple, Netflix along with Baidu, Alibaba, Tencent, Huawei and others in China. Zuboff shares inside knowledge and records how she witnessed the many ways these young companies slid down the slippery slopes of greed, as they assumed the goals of venture capital, Wall Street and shareholder demands.
