Interpreting News Recommendation Models

被引：2

作者：

Fortuna, Blaz ^{[1
,2
]}

Moore, Pat ^{[3
]}

Grobelnik, Marko ^{[2
]}

机构：

[1] Univ Ghent, IMinds, B-9000 Ghent, Belgium

[2] Jozef Stefan Inst, Ljubljana, Slovenia

[3] Bloomberg LP, New York, NY USA

来源：

WWW'15 COMPANION: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB | 2015年

关键词：

News recommendation; Personalization; Learning to rank;

D O I：

10.1145/2740908.2742006

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents an approach for recommending news articles on a large news portal. Focus is given to interpretability of the developed models, analysis of their performance, and deriving understanding of short and long-term user behavior on a news portal.

引用

页码：891 / 892

页数：2