Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
Document filtering with inference networks
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Syntactic clustering of the Web
Selected papers from the sixth international conference on World Wide Web
Learning while filtering documents
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Automatic resource compilation by analyzing hyperlink structure and associated text
WWW7 Proceedings of the seventh international conference on World Wide Web 7
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Focused crawling: a new approach to topic-specific Web resource discovery
WWW '99 Proceedings of the eighth international conference on World Wide Web
Analysis of a very large web search engine query log
ACM SIGIR Forum
Communications of the ACM
An adaptive model for optimizing performance of an incremental web crawler
Proceedings of the 10th international conference on World Wide Web
Proceedings of the 27th International Conference on Very Large Data Bases
SemTag and seeker: bootstrapping the semantic web via automated semantic annotation
WWW '03 Proceedings of the 12th international conference on World Wide Web
Collaborative filtering with decoupled models for preferences and ratings
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Sic transit gloria telae: towards an understanding of the web's decay
Proceedings of the 13th international conference on World Wide Web
Information diffusion through blogspace
Proceedings of the 13th international conference on World Wide Web
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
How to build a WebFountain: An architecture for very large-scale text analytics
IBM Systems Journal
The volume and evolution of web page templates
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Enhancing digital libraries using missing content analysis
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
Collaborative feed reading in a community
Proceedings of the ACM 2009 international conference on Supporting group work
Coalescence of XML-based really simple syndication (RSS) aggregator for blogosphere
Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
Contents Recommendation Method Using Social Network Analysis
Wireless Personal Communications: An International Journal
Dynamic FOAF management method for social networks in the social web environment
The Journal of Supercomputing
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Popularity based search engines have served to stagnate information retrieval from the web. Developed to deal with the very real problem of degrading quality within keyword based search they have had the unintended side effect of creating "icebergs" around topics, where only a small minority of the information is above the popularity water-line. This problem is especially pronounced with emerging information--new sites are often hidden until they become popular enough to be considered above the water-line. In domains new to a user this is often helpful--they can focus on popular sites first. Unfortunately it is not the best tool for a professional seeking to keep up-to-date with a topic as it emerges and evolves.We present a tool focused on this audience--a system that addresses the very large scale information gathering, filtering and routing, and presentation problems associated with creating a useful incremental stream of information from the web as a whole. Utilizing the WebFountain platform as the primary data engine and Really Simple Syndication (RSS) as the delivery mechanism, our "Daily Deltas" (Delta) application is able to provide an informative feed of relevant content directly to a user. Individuals receive a personalized, incremental feed of pages related to their topic allowing them to track their interests independent of the overall popularity of the topic.