The real-time data distribution and search has come to a new frontier in RSSMicro, for the first time it introduces real-time image search and real-time video search along real-time search in articles and posts. All search capabilities will soon be available through an API for all search partners.

On RSSMicro revamped home page users will be able to search for images and videos as they are being published or distributed on millions of RSS feeds. This creates a tremendous opportunity for news editors, bloggers and consumers to search and find relevant images and videos pertaining to current news and events.

You can search RSSMicro for real-time images using the sample link below:
http://www.rssmicro.com/?q=Haiti&f=1

Real-time video search on RSSMicro:
http://www.rssmicro.com/?q=Haiti&f=2


You can send your comments to info[at]rssmicro.com

RSSMicro is happy to announce its PubSubHub server at: http://pubsubhub.rssmicro.com

RSSMicro real-time PubSubHub along FeedRank technology brings RSSMicro to the forefront spot in real-time data delivery and search systems with the most relevant content available in its index.

Feel free to ping the hub if you are a publisher or subscribe to get the most relevant content in real-time.

More about PubSubHub protocol here.

Today RSSMicro completes the integration of rssCloud and PubSubHubBub two real-time data distribution protocols into its proprietary ranking system for RSS and Atom feeds.

RSSMicro is the leading RSS feed search engine, since 2006 it has been working on RSS feed discovery as well as ranking and indexing millions of feeds in its database using FeedRank algorithm. Today by integrating two leading real-time data distribution protocols it has achieved a milestone in indexing relevant information in real-time. RSSMicro API partners as well as individuals can enjoy relevant articles, images and videos in real-time. For API information contact RSSMicro at info[at]rssmicro.com

Follow real-time news on Obama here:
http://www.rssmicro.com/search/Obama

Follow RSSMicro on Twitter:
http://twitter.com/RSSMicro

Came across this article:

http://www.readwriteweb.com/archives/cliqset_activity_streams_api.php

Here are some thoughts:

ActivityStream extension to RSS and Atom format (mistakenly referred to as a format in the article) and the notion behind standardizing or normalizing "activities" is a good idea however there are two important things to think about:
 
1- How much interest is there for every single activity on social networks? people sometimes show little interest in the post itself yet how they might be interested in a feed entry for adding an image, a feed entry for changing background color, a feed entry probably for adding new friend. The real-time search is already saturated with content that adding all these data to the stream doesn't make sense, at least for now. These type of activities can be used for some customized end user applications that serve a special purpose not real-time search to my view. I can think of a celebrity that is also active across multiple social networks (which is very rare), and people want to know every single activity from him or her in real-time (still very rare).
 
2- Data formats have already been standardized, that was their point in the article (super highway coast to coast), the standard format is Atom or RSS. Other data can be attached as an extension (a new namespace) to these two formats to make it richer. This has been happening since the creation of RSS and Atom. What Cliqset is doing is a repetitive action by duplicating feeds that already carry ActivityStream extension in their feeds (if there is any). Those social networks who have such API for activities and willing to make it public already have ActivityStream attached to their feeds, not sure what the purpose of Cliqset is in here and what value it brings to the table.
 
 
Bottom line, some of these ideas come from lack of understanding of the existing technologies, maybe it is just the author.

Now the question is which format is more capable to adopt new extensions, to my view it is the RSS that is even richer than Atom, RSS feeds can add Atom namespace and use its elements while Atom feeds can't use RSS elements as a namespace because RSS deosn't have a namespace.

The good news is it is again Twitter not OneRiot, it would be a bad decision if people use OneRiot while Twitter public API is available to everyone with no restriction. Another good news is that it seems everyone's best shot is at Twitter, they are short in ideas when it comes to real-time search (at least for now).
 
 
http://news.cnet.com/8301-30684_3-10412712-265.html

RSSMicro has been working on crawling, ranking and indexing RSS feeds since 2006, the idea of real-time data discovery and data distribution has been the primary goal of RSSMicro and now it took 3 years for Google to realize the power of RSS feeds. It apparently starts to crawl RSS feeds while exploring the use of PubSub protocol.

This is a big news for RSSMicro since it reiterates that we are on the right track and as the leader in RSS feed crawling and indexing  along innovative FeedRank technology, RSSMicro has a huge potential to be a very competitive player in this area:


http://googlewebmastercentral.blogspot.com/2009/10/using-rssatom-feeds-to-discover-new.html


Congrats RSSMicro on this news.........

Came across a company that uses PostRank as a trademark, here is a thought:

In the API they like to mention about Feed Rank (two words) probably because it is too cumbersome to rank every single post and it doesn't make sense either when you are dealing with real-time data.
 
FeedRank is a concept that works in an environment that ranking posts individually is not possible or at least no longer effective, a post can inherit the rank of its feed instead. There are metrics other than post itself that could determine the rank of the source.

A note on Google and PageRank:

Google is biased at least partially, few years ago they found out and admitted on their blog that PageRank no longer is effective. It could have exhausted even their resources to calculate PageRank regularly for trillions of pages along many quadrillion page intersections, they probably didn't put into account or expect the web exponential growth in recent years. This cumbersome process along the extensive work of SEOs made them think twice and gradually changed the algorithms to something extremely non-scientific and experimental which surprisingly worked as good as the original idea. However in this process some websites happily accepted the results their business thrived and they prosper, some eliminated or got an unfair treatment and never came back. Since then no one knows what exactly Google is doing and that is the concern since nobody knows what portion of the web is missing or hidden from users.
 
Twitter is a successful business model not for the complex algorithms or UI or anything in that nature, it is successful because "everything" chronologically appears on the search with almost no manipulation. I believe it was the most important factor that made Twitter so popular and let it capitalize on Google manipulative system.
 
Good to note that the PageRank original concept is completely in contrary to the requirements of the real-time search, older an article is, more likely to accumulate external links, therefore PageRank tends to give higher scores to older pages and vise versa new pages have almost no rank.

Few comments about traditional news aggregators including Google News:
 
1- They almost all have their own RSS feeds which means the updates are normally available to RSSMicro.
2- The timing is based on the indexing not the publishing time, there is sometime a big latency between the time article has been published and indexed.
3- They are traditionally limited to few thousands of news sources, they do not count in the content from social medias.
4- Since the competition is high and the technology is limited they tend to compete on UI or other services irrelevant to real-time data indexing and delivery which makes other services like Twitter very popular.
 
On another note: wondering why some websites are well treated by Google for maximum exposure:
 
http://www.google.com/search?hl=en&source=hp&q=site%3Adaylife.com&aq=f&oq=&aqi=
 
Wondering why Google indexes so many pages on DayLife while it is not an original content site? is Google biased?

A note:
 
Technically if a system can index news stories faster than those people who tend to gradually share on Twitter, your system will always be one step ahead of the crowd. The real-time search on Twitter is the real-time chatter around certain stories not the actual content, that means there will always be a latency. It looks like Twitter will serve better as a real-time public opinion.
 
Here is a sample among many:
(the search query is picked as a sample trending topic at the time of writing this note)
 
22 minutes time period for latest 15 tweets:
http://search.twitter.com/search?q=Ivanka+Trump
 
 
3 hours time period for latest 20 "controlled" articles comprised of images, summaries and "two-dimensional related keywords":
http://www.rssmicro.com/search/Ivanka-Trump
 
 
RSSMicro real-time search is not yet fully implemented and considering the resources available to both Twitter and RSSMicro, it seems reasonable to believe that Twitter does not have a significantly higher edge over other content distribution methods and is not a final solution to real-time search.