PROCEEDINGS IPMU '08
Emerging User Intentions: Matching User Queries with Topic Evolution in News Text Streams
Codrina Lauth, Ernestina Menasalvas.
Topic and event evolution analysis aiming at
trend detection and tracking (TDT) from news
data streams has considerably gained in interest
during the last years. Consolidated studies have
concentrated on identifying and visualizing
dynamically evolving text patterns from news
data streams. Detecting and understanding user
behavior and relating user intentions to
emerging topic trends in news data streams still
continues to remain a huge challenge for making
search engines in “real-time” responsive to
user’s information needs. In this paper, we will
describe a three-layered approach (user-system-content)
and how we can merge and process the
relevant sources of highly evolving information
on a news portal. This approach is a further step
on building more streamline user-adaptive
newswire search, based on topic and trend
detection systems [9], able to deal in a userfriendly
way with the permanently changing
variety of news data streams that are embedded
in the complex structure of a news portal.
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