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ICTIR
2009
Springer
16 years 1 months ago
Ranking List Dispersion as a Query Performance Predictor
Abstract. In this paper we introduce a novel approach for query performance prediction based on ranking list scores dispersion. Starting from the hypothesis that different score d...
Joaquín Pérez-Iglesias, Lourdes Arau...
SIGIR
2009
ACM
16 years 1 months ago
Predicting user interests from contextual information
Search and recommendation systems must include contextual information to effectively model users’ interests. In this paper, we present a systematic study of the effectiveness of...
Ryen W. White, Peter Bailey, Liwei Chen
TREC
2004
15 years 8 months ago
Amberfish at the TREC 2004 Terabyte Track
The TREC 2004 Terabyte Track evaluated information retrieval in largescale text collections, using a set of 25 million documents (426 GB). This paper gives an overview of our expe...
Nassib Nassar
WWW
2011
ACM
15 years 2 months ago
Ranking in context-aware recommender systems
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Minsuk Kahng, Sangkeun Lee, Sang-goo Lee
SIGIR
2002
ACM
15 years 6 months ago
Detecting and Browsing Events in Unstructured text
Previews and overviews of large, heterogeneous information resources help users comprehend the scope of collections and focus on particular subsets of interest. For narrative docu...
David A. Smith