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The Adressa dataset for news recommendation
TLDR
We introduce the Adressa compact news dataset, which supports all these aspects of news recommendation, and discuss how it can be used in advanced news recommender systems. Expand
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A Survey on Challenges and Methods in News Recommendation
TLDR
Recommender systems are built to provide the most proper item or information within the huge amount of data on the internet. Expand
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Data Sets and News Recommendation
TLDR
This paper presents some of the most common datasets for recommender systems in general, and explains why these datasets do not fully satisfy the needs in news recommendation. Expand
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Towards an Understanding of Fake News
Fake news articles are intentionally fabricated to be deceptive and can be proven that they are false. Fake news and spread of misinformation are important concepts which may have serious real worldExpand
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3rd International Workshop on News Recommendation and Analytics (INRA 2015)
TLDR
The 3rd International Workshop on News Recommendation and Analytics (INRA 2015) is held in conjunction with RecSys 2015 Conference in Vienna, Austria. Expand
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CLEF 2017 NewsREEL Overview: A Stream-Based Recommender Task for Evaluation and Education
TLDR
News recommender systems provide users with access to news stories that they find interesting and relevant. Expand
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Exploring privacy concerns in news recommender systems
TLDR
This review paper discusses the current state-of-the-art of privacy risks and existing privacy preserving approaches in the news domain from user perspective. Expand
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The Intricacies of Time in News Recommendation
TLDR
It is commonly accepted that time is a critical issue in news recommendation. Expand
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User Controlled News Recommendations
TLDR
The adoption of mobile devices is pushing the Internet into a more personal and context aware space. Expand
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