Auto-Scoring of Personalised News in the Real-Time Web: Challenges, Overview and Evaluation of the State-of-the-Art Solutions

P Carbone, V Vlassov - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
The problem of automated personalised news recommendation, often referred as auto-
scoring has attracted substantial research throughout the last decade in multiple domains …

Everyday the same picture: popularity and content diversity

A Bessi, F Zollo, M Del Vicario, A Scala… - Complex Networks VIII …, 2017 - Springer
Facebook is flooded by diverse and heterogeneous content, from kittens up to music and
news, passing through satirical and funny stories. Each piece of that vivid production reflects …

[图书][B] Mining social media: tracking content and predicting behavior

E Tsagkias - 2012 - dare.uva.nl
Since the advent of blogs in the early 2000s, social media has been gaining tremendous
momentum. Blogs have rapidly evolved into a plethora of social media platforms that …

Online prediction algorithm of the news' popularity for wireless cellular pushing

H Chen, X Zhong, J Sun, J Wang - 2015 IEEE/CIC International …, 2015 - ieeexplore.ieee.org
There is an obviously converging property of online news browsed by mobile users, and a
small number of popular contents play an important role in data traffic of wireless cellular …

Accounting for the correspondence in commented data

R Cai, C Wang, H Wang - Proceedings of the 40th International ACM …, 2017 - dl.acm.org
One important way for people to make their voice heard is to comment on the articles they
have read online, such as news reports and each other's posts. The user-generated …

Cloud service for assessment of news' Popularity in internet based on Google and Wikipedia indicators

AUR Khan, MB Khan… - 2015 5th National …, 2015 - ieeexplore.ieee.org
The time-sensitive nature of the news article implies that the change of extent of internet
searches for particular item, as a result of appearance of news, will prevail for few days and …

[PDF][PDF] Predicting the popularity of Web 2.0 items based on user comments.(2014)

X HE, M Gao, MY KAN, Y LIU, K SUGIYAMA - SIGIR - ink.library.smu.edu.sg
In the current Web 2.0 era, the popularity of Web resources fluctuates ephemerally, based
on trends and social interest. As a result, content-based relevance signals are insufficient to …

Sosyal medyada haber popülerliğinin tahmini: Literatür incelemesi

M BEŞTAŞ, U YAVUZ - International Journal of Social and Humanities …, 2020 - jshsr.org
Özet Habercilik teknolojide yaşanan ilerlemelere bağlı olarak zaman içinde internet
ortamındaki yerini ve önemini artırmıştır. Teknolojik ilerlemelere bağlı olarak bilgi akışı …

Prediction and Ranking of Highly Popular Web Content

NMP Moniz - 2017 - search.proquest.com
This thesis addresses prediction and ranking tasks using web content data. The main
objective is to improve the ability to accurately predict and rank recent and highly popular …

[图书][B] Jointly Mining News and User-Generated Content: Machine Learning, Information and Social Network Perspective

JS Alshehri - 2023 - search.proquest.com
The amount of published news articles is steadily increasing, and readers are shifting
toward online platforms because of the convenience and affordable technology costs …