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» Combining and selecting characteristics of information use
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ECIR
2010
Springer
15 years 7 months ago
Learning to Select a Ranking Function
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
Jie Peng, Craig Macdonald, Iadh Ounis
DOCENG
2006
ACM
16 years 8 days ago
NEWPAR: an automatic feature selection and weighting schema for category ranking
Category ranking provides a way to classify plain text documents into a pre-determined set of categories. This work proposes to have a look at typical document collections and ana...
Fernando Ruiz-Rico, José Luis Vicedo Gonz&a...
CICLING
2010
Springer
15 years 10 months ago
Selecting the N-Top Retrieval Result Lists for an Effective Data Fusion
Although the application of data fusion in information retrieval has yielded good results in the majority of the cases, it has been noticed that its achievement is dependent on the...
Antonio Juárez-González, Manuel Mont...
CLEF
2009
Springer
15 years 7 months ago
Information Retrieval Baselines for the ResPubliQA Task
This paper describes the baselines proposed for the ResPubliQA 2009 task. These baselines are purely based on information retrieval techniques. The selection of an adequate retrie...
Joaquín Pérez-Iglesias, Guillermo Ga...
JIS
2006
96views more  JIS 2006»
15 years 6 months ago
A study of the effect of term proximity on query expansion
Query expansion terms are often used to enhance original query formulations in document retrieval. Such terms are usually selected from the entire documents or from windows or pas...
Olga Vechtomova, Ying Wang