Exploring dynamics and semantics of user interests for user modeling on Twitter for link recommendations

G Piao, JG Breslin - proceedings of the 12th international conference on …, 2016 - dl.acm.org
User modeling for individual users on the Social Web plays an important role and is a
fundamental step for personalization as well as recommendations. Recent studies have …

Supported matrix factorization using distributed representations for personalised recommendations on twitter

A Kumar, H Ahuja, NK Singh, D Gupta… - Computers & Electrical …, 2018 - Elsevier
Microblogging is one of the most prevalent media for sharing news on the Internet.
Microblogging platforms, such as Twitter have proven to be of great success in targeted …

Representation models for text classification: a comparative analysis over three web document types

G Giannakopoulos, P Mavridi, G Paliouras… - Proceedings of the 2nd …, 2012 - dl.acm.org
Text classification constitutes a popular task in Web research with various applications that
range from spam filtering to sentiment analysis. To address it, patterns of co-occurring words …

Usage of scientific references in MMR vaccination debates on Twitter

A Addawood - 2018 IEEE/ACM International Conference on …, 2018 - ieeexplore.ieee.org
This research analyzes scientific information sharing behaviors on Twitter. Over an eleven-
month period, we collected tweets related to the controversy over the supposed linkage …

Graph vs. bag representation models for the topic classification of web documents

G Papadakis, G Giannakopoulos, G Paliouras - World Wide Web, 2016 - Springer
Text classification constitutes a popular task in Web research with various applications that
range from spam filtering to sentiment analysis. In this paper, we argue that its performance …

Towards comprehensive user modeling on the social web for personalized link recommendations

G Piao - proceedings of the 2016 conference on user modeling …, 2016 - dl.acm.org
User modeling for individual users on the Social Web plays a significant role and is a
fundamental step for personalization as well as recommendations. Previous studies have …

Interest representation, enrichment, dynamics, and propagation: a study of the synergetic effect of different user modeling dimensions for personalized …

G Piao, JG Breslin - European knowledge acquisition workshop, 2016 - Springer
Microblogging services such as Twitter have been widely adopted due to the highly social
nature of interactions they have facilitated. With the rich information generated by users on …

Categorization and comparison of influential twitter users and sources referenced in tweets for two health-related topics

A Addawood, P Balakumar, J Diesner - … , DC, USA, March 31–April 3, 2019 …, 2019 - Springer
The internet's evolution has had a profound influence on how people acquire medical
information. The innovation of web 2.0 has been regarded as the primary motivating factor …

Filter hashtag context through an original data cleaning method

D Henry, E Stattner, M Collard - Procedia Computer Science, 2018 - Elsevier
Nowadays, social networks are one of the most used means of communication. For
example, the social network Twitter has nearly 100 million active users who post about 500 …

[PDF][PDF] Content modeling based on social network community activity

KR Kim, N Moon - Journal of Information Processing Systems, 2014 - koreascience.kr
The advancement of knowledge society has enabled the social network community (SNC) to
be perceived as another space for learning where individuals produce, share, and apply …