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» Adapting information retrieval systems to user queries
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WWW
2009
ACM
14 years 8 months ago
Buzz-based recommender system
In this paper, we describe a buzz-based recommender system based on a large source of queries in an eCommerce application. The system detects bursts in query trends. These bursts ...
Nish Parikh, Neel Sundaresan
SIGIR
1998
ACM
13 years 7 months ago
Real Life Information Retrieval: A Study of User Queries on the Web
Bernard J. Jansen, Amanda Spink, Judy Bateman, Tef...
RIAO
2000
13 years 9 months ago
Allowing users to weight search terms
Informationretrieval systems typically weight the importance of search terms according to document and collection statistics (such as by using tf idf scores, where less commonterm...
Ronald Fagin, Yoëlle S. Maarek
WWW
2007
ACM
14 years 8 months ago
Adaptive faceted browser for navigation in open information spaces
Open information spaces have several unique characteristics such as their changeability, large size, complexity and diverse user base. These result in novel challenges during user...
Mária Bieliková, Michal Tvarozek
WWW
2004
ACM
14 years 8 months ago
Best bets: thousands of queries in search of a client
A number of applications require selecting targets for specific contents on the basis of criteria defined by the contents providers rather than selecting documents in response to ...
Giuseppe Attardi, Andrea Esuli, Maria Simi