Open AccessSearching real‐time financial news: PAR for the course
Author(s) -
Rafsky Lawrence C.
Publication year - 2009
Publication title -
bulletin of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8366
pISSN - 0095-4403
DOI - 10.1002/bult.2009.1720360108
Subject(s) - computer science , newspaper , latency (audio) , world wide web , information retrieval , advertising , business , telecommunications
Lawrence C. Rafsky is principal scientist at Acquire Media/NewsEdge in Roseland, New Jersey. He can be reached at lrafskyacquiremedia.com. R eal-time news (also known as live news, streaming news or breaking news) – especially news focused on business and financial matters – is widely read and builds up quickly. A typical newspaper/newswire aggregation system will process three stories per second around the clock, adding approximately 250,000 stories every business day to the collection. Large commercial systems substantially surpass this total. The needs and behavior of end-users searching collections of this type differ from general searching norms in several key aspects: The computational burden is closer to the classic alert/routing problem than it is to the ad-hoc search problem. Business work is about the opportunities of today and tomorrow. All news is structured. User queries do not typically consist of a few terms. Users have a high degree of topic familiarity and topic focus.