Social recommendation and friendfeed

Following the launch of playgroup Sr last weekend, we named it "social recommendation engine social recommendation ".
After the engine tool, the traffic suddenly doubles, maybe it is the effect of the articles recommended by the big guys, maybe it isSocial
The concept of shanzhai is quite eye-catching. Thanks for the feedback from many friends.

1. User System

KESO commented that "SR
It's really cool. But I think we need to find users for it. Just like Digg and techmeme, if there is no user, it can only be a technology or concept,With users, they become media."

Since playgroup SR does not have a user system, its statistics are all data of social media, which is widely used and can be ignored. However, it is essentially different from friendfeed, at present, Sr can automatically run day and night without user participation. Unlike fresh fruit or Google
Reader, hot text list/shareditems sharing all come from their own user's recommendation/sharing actions. Their users mainly read RSS, even if there is no hot text or shared output. Unlike friendfeed, You can merge the links shared by friends from different sources or not merge them.
Lifestream.

Sr
You need to find a way to introduce users. Of course, to become a tool, as a solution for reading and sharing, after all, it is very practical and durable to meet Liu weipeng's demand:

"Toplanguagers has a large number of experts. I personally want to see what masters usually read. It should be an excellent way to broaden their knowledge. In particular, it has been mentioned before that the way to obtain high-value information on the internet is always too costly, and reading and sharing by experts is an excellent way.

Every time I speak on a familiar ID, I find that this guy has this hidden knowledge! : P

In fact, I have been thinking about how to share the greatest value of this community, not only to external friends, but also to each other, use your own knowledge to open a window to new knowledge for others and get different things from others' knowledge."

SD is a hot conversation and thinking among IT industry opinion leaders, while Sr is a sharing of the reading by the IT industry's general public, which is broader and more leisurely than SD. As shown in:

2. Repeated reading

Lao le also pointed out that "at present, I don't think" come, to be a social recommendation engine "is good, but it is just an attempt. For me,The biggest problem is the recommendation of social engines, which I have already read.ArticleIt is just to reorganize the data and it is useless ."

For users of severe RSS readers, the functions of Sr are indeed embarrassing. Most of them may have read articles that have been shared multiple times.

Even for me, it is a waste of time to subscribe to other people's Google Reader shared, because most of the article authors they share have subscribed to or aggregated in playlist sdks. Therefore, for heavy reader users, greader's own what's hot function is the most intimate, and they are expected to release the Chinese version of this function early.

3. Is receng A receng or a receng?

A netizen named Fisher commented, "Social recommendation aggregation should be called. Is the re-aggregation of seeds like friendfeed ?" It makes sense. In essence, it is still aggregation.

In friendfeed, he also gave a comment on Feng dahui, saying, "Is fun a derivative practice of friendfeed ?", For example:

As we said in "Lai, as a social recommendation engine", playpoly SR refers to memetracker type of friendfeed's Lifestream service, rssmeme/techmeme/SD, and hot text type of fresh fruit hot text, three in one. The only difference is the purposeful selection of information sources,
It ensures that the hot text is close to the reading taste of IT colleagues and has a certain degree of divergence.

4. You can know who shared your blog

Someone said, "now I finally know who is sharing or recommending my article ".

Yes. If you want to know this with friendfeed, You need to subscribe to every person who may recommend you. You can search at search.twitter.com on Twitter, well, what about fresh fruit, rice, water, and delicious? OK and SR may be able to solve this problem more or less, as shown in:

5. I hope everyone will come to practice and find their own social media aggregation path.

We setAlgorithmAnd technical details are written in the article, because we are based on the ideas and algorithms of rssmeme/feedzshare/Reddit, therefore, we also hope that other developers who are brave in practice can improve and optimize mashup based on these ideas to develop more practical products.

 

Zheng @ playmates Sr & playmates SD 20081228