Toward a better understanding of news user journeys: A Markov chain approach

S Vermeer, D Trilling - Journalism Studies, 2020 - Taylor & Francis
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 …

Beyond optimizing for clicks: Incorporating editorial values in news recommendation

F Lu, A Dumitrache, D Graus - Proceedings of the 28th ACM conference …, 2020 - dl.acm.org
With the uptake of algorithmic personalization in the news domain, news organizations
increasingly trust automated systems with previously considered editorial responsibilities …

Personalized extractive summarization for a news dialogue system

H Takatsu, M Okuda, Y Matsuyama… - 2021 IEEE Spoken …, 2021 - ieeexplore.ieee.org
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 …

Predicting the success of news: Using an ML-based language model in predicting the performance of news articles before publishing

A Jääskeläinen, E Taimela, T Heiskanen - Proceedings of the 23rd …, 2020 - dl.acm.org
Traditional recommendation systems have limited possibilities to optimise business value in
editorial decision making in news production, as they select the recommendations only from …

[PDF][PDF] SMART radio: personalized news radio

M Sappelli, DM Chu, B Cambel, J Nortier… - Dutch-Belgian …, 2018 - arxiv.org
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 …

Personalized extractive summarization using an ising machine towards real-time generation of efficient and coherent dialogue scenarios

H Takatsu, T Kashikawa, K Kimura… - Proceedings of the …, 2021 - aclanthology.org
We propose a personalized dialogue scenario generation system which transmits efficient
and coherent information with a real-time extractive summarization method optimized by an …

Personalized Extractive Summarization with Discourse Structure Constraints Towards Efficient and Coherent Dialog-Based News Delivery

H Takatsu, R Ando, H Honda, Y Matsuyama… - Conversational AI for …, 2022 - Springer
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 …

[PDF][PDF] Let me tell you who you are

D Graus, M Sappelli, DM Chu - … systems by opening black box user …, 2018 - graus.nu
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 …

[CYTOWANIE][C] On the factual correctness and robustness of deep abstractive text summarization

KM Lux - 2020