354 search results - page 20 / 71 » Top-k learning to rank: labeling, ranking and evaluation |
EWCBR
2004
Springer
15 years 3 months ago
2004
Springer
The ranking of offers is an issue in e-commerce that has received a lot of attention in Case-Based Reasoning research. In the absence of a sales assistant, it is important to provi...
106
click to vote
MIR
2010
ACM
14 years 8 months ago
2010
ACM
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
CIKM
2010
Springer
14 years 8 months ago
2010
Springer
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
148
click to vote
IR
2011
14 years 4 months ago
2011
In this paper, we evaluate a number of machine learning techniques for the task of ranking answers to why-questions. We use TF-IDF together with a set of 36 linguistically motivate...
IR
2010
14 years 8 months ago
2010
LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the L...