Gender-aware Re-ranking

被引：0
|
作者：
Kharitonov, Eugene [1 ,2 ]
Serdyukov, Pavel [1 ]
机构：
[1] Yandex LLC, 16 Leo Tolstoy St, Moscow, Russia
[2] Moscow Inst Phys & Technol, Moscow, Russia
来源：
SIGIR 2012: PROCEEDINGS OF THE 35TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL | 2012年
关键词：
web search; personalization; gender-aware ranking;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we study usefulness of users' gender information for improving ranking of ambiguous queries in personalized and non-contextual settings. This study is performed as a sequence of offine re-ranking experiments and it demonstrates that the proposed gender-aware ranking features provide improvements in ranking quality. It is also shown that the proposed personalized features exhibit performance superior to non-contextual ones.
引用
收藏
页码：1081 / 1082
页数：2
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