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SIGIR
2012
ACM
13 years 6 months ago
To index or not to index: time-space trade-offs in search engines with positional ranking functions
Positional ranking functions, widely used in web search engines, improve result quality by exploiting the positions of the query terms within documents. However, it is well known ...
Diego Arroyuelo, Senén González, Mau...
ICML
1998
IEEE
16 years 5 months ago
An Efficient Boosting Algorithm for Combining Preferences
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
RECSYS
2010
ACM
15 years 4 months ago
Nantonac collaborative filtering: a model-based approach
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
Toshihiro Kamishima, Shotaro Akaho
IQIS
2005
ACM
15 years 10 months ago
Data quality inference
In the field of sensor networks, data integration and collaboration, and intelligence gathering efforts, information on the quality of data sources are important but are often not...
Raymond K. Pon, Alfonso F. Cardenas
CAGD
2004
73views more  CAGD 2004»
15 years 4 months ago
Interpolatory rank-1 vector subdivision schemes
The concept of stationary scalar subdivision being interpolatory does not always extend immediately to the vector valued case. We introduce the concepts of interpolating and data p...
Costanza Conti, Georg Zimmermann