Diversity and Novelty in Information Retrieval

被引：0
|
作者：
Santos, Rodrygo L. T. [1 ]
Castells, Pablo [2 ]
Altingovde, Ismail Sengor [3 ]
Can, Fazli [4 ]
机构：
[1] Univ Fed Minas Gerais, Belo Horizonte, MG, Brazil
[2] Univ Autonoma Madrid, Madrid, Spain
[3] Middle East Tech Univ, Ankara, Turkey
[4] Bilkent Univ, Ankara, Turkey
来源：
SIGIR'13: THE PROCEEDINGS OF THE 36TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH & DEVELOPMENT IN INFORMATION RETRIEVAL | 2013年
关键词：
Relevance; Diversity; Novelty; Ambiguity; Redundancy;
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：
This tutorial aims to provide a unifying account of current research on diversity and novelty in different IR domains, namely, in the context of search engines, recommender systems, and data streams.
引用
收藏
页码：1130 / 1130
页数：1
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