Press release> Feedster, Inc., the first company to utilize RSS feeds and weblog content to enhance broad web search, today announced that it will power RSS and blog search results for Eurekster, the first and only Internet search engine powered by social networking technology. By integrating Feedster’s news search technology and RSS feeds, Eurekster now provides its users and subscribers with an expanded search solution containing new sources of information and data beyond traditional Web search.
“Both Feedster and Eurekster apply leading edge methods to bring users relevant and timely search results,” said Scott Rafer, CEO of Feedster. “It makes sense to offer users the next-generation power of RSS and personalized search all in one place.”
“Eurekster uniquely allows users to determine what is relevant to them and their communities of interest and social networks, and now we can allow them to choose Feedster-supplied blog results as one of their relevant search feeds,” said Steven E. Marder, President & COO of Eurekster, Inc. “By incorporating Feedster’s content within the Eurekster search engine, our users can now complement Web search results with the timely, opinionated, and fast-growing weblog world that Feedster now opens to us.”
In the future, Eurekster’s users will be able to create custom FeedPapers to distribute to their networks.
Feedster is a rapidly growing search engine for online content and weblogs published using RSS, a newly popular XML standard. Feedster indexes more than 865,000 syndicated sources including over 50,000 professional RSS feeds from The New York Times, BBC, CNET, IDG, Wired and more. Approximately 5,000 new feeds are added daily. The Company aggregates and publishes RSS feeds for topical subjects and events such as http://politics.feedster.com and http://sports.feedster.com . Go to: http://www.feedster.com for more information.
Eurekster, the leader in search personalization technologies, delivers results that matter most to users and their communities and networks of friends and contacts. Eurekster continuously learns from the behavior of users within their social networks and/or affinity groups to deliver personalized search results and instant sharing and remembering of their popular Web destinations and searches. The company’s services allow users to confidentially and privately share their knowledge and experiences with each other, simply by using Eurekster to search the Web and navigate to sites of their choosing. Eurekster relies on unique, patented Learning Search™ technology and patent pending processes that link search algorithms to social networks and topic filters.