With the uptake of algorithmic personalization in the news domain, news organizations
increasingly trust automated systems with previously considered editorial responsibilities …

In recent years, the volume of clickstream and user data collected by news organizations
has reached enormous proportions. As a result, news organizations—as well as journalism …

Traditional recommendation systems have limited possibilities to optimise business value in
editorial decision making in news production, as they select the recommendations only from …

In modern society, people's interests and preferences are diversifying. Along with this, the
demand for personalized summarization technology is increasing. In this study, we propose …

In this demonstration paper we describe the SMART Radio app for BNR Nieuwsradio. 1 The
SMART Radio app is an extension to the current BNR app, which offers users a more …

We propose a personalized dialogue scenario generation system which transmits efficient
and coherent information with a real-time extractive summarization method optimized by an …

談話構造制約付きパーソナライズド抽出型要約 Page 1 談話構造制約付きパーソナライズド抽出型
要約 高津弘明 1 安藤涼太 2 本田裕 3 松山洋一 1 小林哲則 1 1 早稲田大学 2 内外切抜通信社 3 …

Personalization of media services is gaining more and more traction, eg, through the rise of
personalization driven by recommender systems across media outlets. At the same time, we …

In this paper, we propose a method to generate a personalized summary that may be of
interest to each user based on the discourse structure of documents in order to deliver a …