News recommender systems - Survey and roads ahead

被引:196
作者
Karimi, Mozhgan [1 ]
Jannach, Dietmar [2 ]
Jugovac, Michael [3 ]
机构
[1] Univ Antwerp, Dept Math & Comp Sci, Antwerp, Belgium
[2] AAU Klagenfurt, Dept Appl Informat, A-9020 Klagenfurt, Austria
[3] TU Dortmund, Dept Comp Sci, D-44221 Dortmund, Germany
关键词
News recommender systems; Survey;
D O I
10.1016/j.ipm.2018.04.008
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
More and more people read the news online, e.g., by visiting the websites of their favorite newspapers or by navigating the sites of news aggregators. However, the abundance of news information that is published online every day through different channels can make it challenging for readers to locate the content they are interested in. The goal of News Recommender Systems (NRS) is to make reading suggestions to users in a personalized way. Due to their practical relevance, a variety of technical approaches to build such systems have been proposed over the last two decades. In this work, we review the state-of-the-art of designing and evaluating news recommender systems over the last ten years. One main goal of the work is to analyze which particular challenges of news recommendation (e.g., short item life times and recency aspects) have been well explored and which areas still require more work. Furthermore, in contrast to previous surveys, the paper specifically discusses methodological questions and today's academic practice of evaluating and comparing different algorithmic news recommendation approaches based on accuracy measures.
引用
收藏
页码:1203 / 1227
页数:25
相关论文
共 188 条
[1]  
Agarwal D., 2011, EMNLP, P571
[2]  
Agarwal Deepak., 2012, Proceedings of the 21st ACM international conference on Information and knowledge management, P694
[3]  
Agarwal S, 2014, PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON RELIABILTY, OPTIMIZATION, & INFORMATION TECHNOLOGY (ICROIT 2014), P74, DOI 10.1109/ICROIT.2014.6798295
[4]  
Almeida JJ., 2011, P 6 IB C INF SYST TE, P1
[5]  
[Anonymous], 2011, P 5 ACM C RECOMMENDE
[6]  
[Anonymous], 2005, P 14 INT C WORLD WID, DOI DOI 10.1145/1060745.1060754
[7]  
[Anonymous], P 6 ACM C REC SYST R
[8]  
[Anonymous], 2015, RECSY 15 P 9ACM C RE, DOI DOI 10.1145/2792838.2800184
[9]  
[Anonymous], 2013, P 2013 WORKSHOP LIVI
[10]  
[Anonymous], 2011, P 4 ACM INT C WEB SE, DOI DOI 10.1145/1935826.1935878