KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval

被引:0
|
作者
Meng, Zaiqiao [1 ]
Liang, Shangsong [2 ]
Xin, Xin [3 ]
Moro, Gianluca [4 ]
Kanoulas, Evangelos [5 ]
Yilmaz, Emine [6 ]
机构
[1] Univ Glasgow, Glasgow, Lanark, Scotland
[2] MBZUAI, Abu Dhabi, U Arab Emirates
[3] Shandong Univ, Jinan, Peoples R China
[4] Univ Bologna, Bologna, Italy
[5] Univ Amsterdam, Amsterdam, Netherlands
[6] UCL, London, England
来源
ADVANCES IN INFORMATION RETRIEVAL, ECIR 2024, PT V | 2024年 / 14612卷
关键词
Information Retrieval; Knowledge Graph; Recommendation System; Large Language Models;
D O I
10.1007/978-3-031-56069-9_53
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The infusion of external knowledge bases into IR models can provide enhanced ranking results and greater interpretability, offering substantial advancements in the field. The first workshop on Knowledge-Enhanced Information Retrieval (KEIR @ ECIR 2024) will serve as a platform to bring together researchers from academia and industry to explore and discuss various aspects of knowledge-enhanced information retrieval systems, such as models, techniques, data collection and evaluation. The workshop aims to not only deliberate upon the advantages and hurdles intrinsic to the development of knowledge-enhanced pretrained language models, IR models and recommendation models but also to facilitate in-depth discussions concerning the same.
引用
收藏
页码:398 / 402
页数:5
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