An Educational News Dataset for Recommender Systems

被引：2

作者：

Xing, Yujie ^{[1
]}

Mohallick, Itishree ^{[1
]}

Gulla, Jon Atle ^{[1
]}

Ozgobek, Ozlem ^{[1
]}

Zhang, Lemei ^{[1
]}

机构：

[1] Norwegian Univ Sci & Technol, N-7491 Trondheim, Norway

来源：

ECML PKDD 2020 WORKSHOPS | 2020年 / 1323卷

关键词：

Refined datasets; News recommender system; Machine learning;

D O I：

10.1007/978-3-030-65965-3_39

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Datasets are an integral part of contemporary research on recommender systems. However, few datasets are available for conventional recommender systems and even very limited datasets are available when it comes to contextualized (time and location-dependent) News Recommender Systems. In this paper, we introduce an educational news dataset for recommender systems. This dataset is the refined version of the earlier published Adressa dataset and intends to support the university students in the educational purpose. We discuss the structure and purpose of the refined dataset in this paper.

引用

页码：562 / 570

页数：9

共 16 条

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