Event tracking based on domain dependency
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Modern Information Retrieval
Learning Approaches for Detecting and Tracking News Events
IEEE Intelligent Systems
Information Navigation by Clustering and Summarizing Query Results
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 3 - Volume 3
Modeling and Navigation of Large Information Spaces: A Semantics Based Approach
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Flexible intrinsic evaluation of hierarchical clustering for TDT
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Correlating summarization of multi-source news with k-way graph bi-clustering
ACM SIGKDD Explorations Newsletter
A personalized search engine based on web-snippet hierarchical clustering
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Topic detection and tracking with spatio-temporal evidence
ECIR'03 Proceedings of the 25th European conference on IR research
Progress in information retrieval
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
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The growing amount of online news posted on the WWW demands new algorithms that support topic detection, search, and navigation of news documents. This work presents an algorithm for topic detection that considers the temporal evolution of news and the structure of web documents. Then, it uses the results of the topic detection algorithm for searching and navigating in an online news source. An experimental evaluation with a collection of online news in Spanish indicates the advantages of incorporating the temporal aspect and structure of documents in the topic detection of news. In addition, topic-based clusters are well suited for guiding the search and navigation of news.