Research Article
Follow Africa: Building an African News Recommender Systems
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@INPROCEEDINGS{10.1007/978-3-030-34863-2_7, author={Moustapha Fall and Modou Gueye}, title={Follow Africa: Building an African News Recommender Systems}, proceedings={Innovations and Interdisciplinary Solutions for Underserved Areas. Third EAI International Conference, InterSol 2019, Cairo, Egypt, February 14--15, 2019, Proceedings}, proceedings_a={INTERSOL}, year={2019}, month={11}, keywords={News recommendation Recency-based algorithm Keyword assignment}, doi={10.1007/978-3-030-34863-2_7} }- Moustapha Fall
Modou Gueye
Year: 2019
Follow Africa: Building an African News Recommender Systems
INTERSOL
Springer
DOI: 10.1007/978-3-030-34863-2_7
Abstract
Recommender systems have become an important component of Web media. From VoD providers (Netflix, Amazon Video) () to news websites (Yahoo! News, CNN) (), users have become accustomed to personalized content. However, news recommendation differs from traditional recommendation due to the short lifetime of news. Indeed, News is particularly characterized by a short time span during which they are relevant. Therefore, in addition, to suggest suited news to users, news recommender systems (NRS) have to deal with news recency in order to avoid recommending already read content somewhere else.
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