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» A General Language Model for Information Retrieval
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SIGIR
2009
ACM
15 years 11 months ago
Reciprocal rank fusion outperforms condorcet and individual rank learning methods
Reciprocal Rank Fusion (RRF), a simple method for combining the document rankings from multiple IR systems, consistently yields better results than any individual system, and bett...
Gordon V. Cormack, Charles L. A. Clarke, Stefan B&...
HT
2004
ACM
15 years 10 months ago
When open hypermedia meets peer-to-peer computing
We describe the extension to our previous work on a Web-based peer-to-peer open hypermedia system, the DDLS. We enrich the peer model by introducing query history, and propose the...
Jing Zhou, Wendy Hall, David De Roure
SIGIR
2008
ACM
15 years 4 months ago
Evaluation measures for preference judgments
There has been recent interest in collecting user or assessor preferences, rather than absolute judgments of relevance, for the evaluation or learning of ranking algorithms. Since...
Ben Carterette, Paul N. Bennett
MM
2003
ACM
132views Multimedia» more  MM 2003»
15 years 9 months ago
On image auto-annotation with latent space models
Image auto-annotation, i.e., the association of words to whole images, has attracted considerable attention. In particular, unsupervised, probabilistic latent variable models of t...
Florent Monay, Daniel Gatica-Perez
126
Voted
IJIS
2008
123views more  IJIS 2008»
15 years 4 months ago
Algorithms of nonlinear document clustering based on fuzzy multiset model
Abstract: Fuzzy multiset is applicable as a model of information retrieval because it has the mathematical structure which expresses the number and the degree of attribution of an ...
Kiyotaka Mizutani, Ryo Inokuchi, Sadaaki Miyamoto