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

页码：1081 / 1082

页数：2

共 24 条

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