Abstract. In this work we reproduce the experiments presented in the paper entitled “Rank-Biased Precision for Measurement of Retrieval Ef-fectiveness”. This paper introduced a new effectiveness measure – Rank-Biased Precision (RBP) – which has become a reference point in the IR experimental evaluation panorama. We will show that the experiments presented in the original RBP paper are repeatable and we discuss points of strength and limitations of the approach taken by the authors. We also present a generalization of the results by adopting four experimental collections and differen
For decades, the use of test collection has been a standardized approach in information retrieval ev...
To satisfy their information needs, users usually carry out searches on retrieval systems by contin...
The effectiveness of information retrieval systems is measured by comparing performance on a common...
In this work we reproduce the experiments presented in the paper entitled \u201cRank-Biased Precisio...
A range of methods for measuring the effectiveness of information retrieval systems has been propose...
Abstract Rank-Biased Precision (RBP) is a retrieval evaluation metric that assigns an effectiveness ...
This paper investigates two relatively new measures of retrieval effectiveness in relation to the pr...
© 2019 Ziying YangBatch evaluation techniques are often used to measure and compare the performance ...
© 2010 Dr. William Edward WebberFull-text retrieval systems employ heuristics to match documents to ...
We present two new measures of retrieval effectiveness, inspired by Graded Average Precision (GAP), ...
Although relevance is known to be a multidimensional concept, information retrieval measures mainly ...
Modern large retrieval environments tend to overwhelm their users by their large output. Since all d...
Information retrieval systems aim to help users satisfy information needs. We argue that the goal of...
Various measures, such as binary preference (bpref), inferred average precision (infAP), and binary ...
The effectiveness of information retrieval systems is measured by comparing performance on a common ...
For decades, the use of test collection has been a standardized approach in information retrieval ev...
To satisfy their information needs, users usually carry out searches on retrieval systems by contin...
The effectiveness of information retrieval systems is measured by comparing performance on a common...
In this work we reproduce the experiments presented in the paper entitled \u201cRank-Biased Precisio...
A range of methods for measuring the effectiveness of information retrieval systems has been propose...
Abstract Rank-Biased Precision (RBP) is a retrieval evaluation metric that assigns an effectiveness ...
This paper investigates two relatively new measures of retrieval effectiveness in relation to the pr...
© 2019 Ziying YangBatch evaluation techniques are often used to measure and compare the performance ...
© 2010 Dr. William Edward WebberFull-text retrieval systems employ heuristics to match documents to ...
We present two new measures of retrieval effectiveness, inspired by Graded Average Precision (GAP), ...
Although relevance is known to be a multidimensional concept, information retrieval measures mainly ...
Modern large retrieval environments tend to overwhelm their users by their large output. Since all d...
Information retrieval systems aim to help users satisfy information needs. We argue that the goal of...
Various measures, such as binary preference (bpref), inferred average precision (infAP), and binary ...
The effectiveness of information retrieval systems is measured by comparing performance on a common ...
For decades, the use of test collection has been a standardized approach in information retrieval ev...
To satisfy their information needs, users usually carry out searches on retrieval systems by contin...
The effectiveness of information retrieval systems is measured by comparing performance on a common...