Learning to model relatedness for news recommendation

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DKN: Deep Knowledge-Aware Network for News Recommendation (2018, background): “Non-personalized news recommendation aims to model relatedness among news [29] or learn human editors’ demonstration [47].”
NPA: Neural News Recommendation with Personalized Attention (2019, background): “s Recommendation News recommendation is an important task in the data mining field, and have been widely explored over years. Traditional news recommendation methods usually based on news relatedness [23], semantic similarities [3] and human editors’ demonstration [33]. However, the preferences of u”
Content recommendation on web portals (2013, background): “The semantic relevance measure needs to ensure the candidate item not only is similar to the context item, but also provides sufficient new information not in the context article.(26) Also, CTR estimation needs to take not only the user into consideration, but also the context article, to predict th”
News recommender systems - Survey and roads ahead (2018, unknown): “[124] 2011 CB Novelty Yahoo! News NDCG, Subj.”
Understanding User Beliefs About Algorithmic Curation in the Facebook News Feed (2015, background): “Lv et al. [23] emphasize that relatedness is important for keeping users’ attention as they browse from item to item.”