Digg VS Play Poly

Written by	Date	Keywords
Zheng	2007-6-19	Meme Hotspot Tipping Point Digg

Vs

There are three features of Digg:

Digg itself does not produce content, nor crawl news;

• Most of the news on Digg's homepage is only contributed by a small percentage of users (Digg it);

Part of Digg's value comes from the user's automatic screening of news, partly from high-quality reviews.

In North America, Digg.com has become an important information filter, but in China, the Onejoo will stand out for three main reasons:

1th, Digg sites require that users be actively involved (by posting the news they see elsewhere to the Digg site, and to the news polls to Digg), otherwise digg has no value.

"China Digg needs Lei Feng Spirit, but not users, the first is the webmaster." "This Chinese Digg webmaster's own discussion has revealed the truth:

"1 · The Chinese Internet has not reached the United States," advocating freedom, contempt of authority, "the spirit of the current user or to take the spirit of reference and sharing of the spirit, or not, so, the need to webmaster more Lei Feng Spirit, to learn all the pulse of all the ideas they have contributed, so that more people appreciate the value of your platform, To be an example, someone will slowly join in, and you form an interaction.

4 · For users to Digg websites or information, there needs to be enough information sources. But users are not willing to provide the time, you must first have Digg, a user "top" finished, feel that they have better information to let everyone top, so users are willing to provide information sources.

6 · Any website to avoid advertising, or malicious top, all the site can not reach a utopian site, so, to bear this so-called advertising information and business information, but also to avoid affecting the user's vision and absorption, both to organic combination. Because some people will say, in fact spam, may be able to dig into business opportunities. ”

That said, Digg is just an aerial garden away from the reader's active involvement.

and play poly (Onejoo) itself is crawling around to collect Chinese blog World and Forum World articles, grabbed back after using text mining algorithm to calculate the hot topic and the time context, in the absence of user participation to play poly (Onejoo) website content Construction, has been able to produce hundreds of hot topics in various fields every day to attract readers. Then the interactive approach was used to get the 10% of participants to stay and stimulate 89% of divers to surface.

playing poly (Onejoo) has been on their own to stand up the stick, and coated with honey, the rest is to summon the ants to find their interest in the stick, and then further allow the ants themselves stick, play gather to help him apply honey. Digg offers a place to play and the rules of the game, hoping the user will stand up. During the primitive accumulation period, the practice of playing poly (Onejoo) has a competitive advantage.

2nd, Digg's article, is an island of information, there is no connection between them, in addition to a channel (such as Science and technology, humanities, social and other channels).

Digg has not interacted with interested readers, and has not dug up the links between topics, and Digg is just a simulation of human reading behavior.

3rd, because Digg's readers spontaneous excavation of news and voting methods, it is easy to give China's spammers and small advertising manufacturers opportunities, so that the home page of the news area of a mixed bag, seriously affect the user's use.

Keso in the "Rambling: Digg illusion," said the "catch the hot shrimp on the list of articles, probably have" 10 methods "," 5 Cheats "," 100 suggestions "such as Lu Xun said" Ten King disease "like the title. "Thus" is not always optimistic about the same use of the Digg pattern of the shrimp caught hot article.

Flower also in "catch shrimp: is half start-up Review" released said: "Catch shrimp Jevin algorithm is the most characteristic of the domestic Digg site, through the time and the recommended number of comprehensive score to determine the position of an article, and unified placed in a hot list." In the first few months of the site's launch, this column did bring us more knowledge and expanded the reading surface until spammer found the place. A moderate recommendation is encouraged, but when a feed's number of subscriptions and recommendations are far from match and the content is nasty, as a reader you will feel mentally being Q J. On the surface, you can not tell which feeds are spam and which are not, but from the user's point of view, the quality of information and the ductility of reading that the Jevin ranks have been destroyed, filled with only the residue of second-hand three-handed digestion and stepping on a tread. In fact, this is not the fault of catching shrimp, when the number of voting pool is extremely limited, cheating is very flexible and easy. The catch shrimp is more about how to deal with these cheaters. ”

As with Google, the content-source rating is not as spammer as Digg.

so in the Chinese world, there is no similarity between Onejoo and Digg . Compared to Digg, playing together more emphasis on machine intelligence, more emphasis on wind-free automatic.

Summary

play together, always on the road, towards becoming China's Techmeme and beyond Techmeme further become network users of information filter steady progress. To play together, but also to put more power into the personalized filtering for Internet users, tracking requirements.

Zheng's related reading:

1 : Hope –by attacked

" There are so many new technologies and services in the country that no one has tried, discussed, and gained better enlightenment from the development." For example, catching shrimp, 9 dots of watercress, Zheng playing (Onejoo) These are good examples of news aggregation "

2 : play a hot spot new discovery--China's techmeme.

"in March 2006, I started looking for the meme engine that fits Chinese characteristics and soon found that only text mining algorithms could do this." The text of the blog content mining, there is still a big problem in China to solve. Blogs are much more complicated than news. In September 2006, I worked with Dr. Zhang Junlinghan, a software institute of CAS, to create a network of games, aiming at the future general direction of information filters and human filters. "

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