198 citations · 949 across the 29 of their papers we have counts for
Showing 2019 · cs.IRShow all
2 papers · 2 filters
cs.IR2019★ 15 cited
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval
Liang Pang, Jun Xu, Qingyao Ai +3
In learning-to-rank for information retrieval, a ranking model is automatically learned from the data and then utilized to rank the sets of retrieved documents. Therefore, an ideal…
cs.IR2019★ 13 cited
A Deep Look into Neural Ranking Models for Information Retrieval
Jiafeng Guo, Yixing Fan, Liang Pang +6
Ranking models lie at the heart of research on information retrieval (IR). During the past decades, different techniques have been proposed for constructing ranking models, from tr…