Results 211 to 220 of about 37,309 (258)

Early Prediction of Scholar Popularity

Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016
Prediction of scholar popularity has become an important research topic for a number of reasons. In this paper, we tackle the problem of predicting the popularity {\it trend} of scholars by concentrating on making predictions both as earlier and accurate as possible.
Masoumeh Nezhadbiglari, Marcos André Gonçalves, Jussara M. Almeida   +2 more
openaire   +2 more sources

Predicting popular messages in Twitter

Proceedings of the 20th international conference companion on World wide web, 2011
Social network services have become a viable source of information for users. In Twitter, information deemed important by the community propagates through retweets. Studying the characteristics of such popular messages is important for a number of tasks, such as breaking news detection, personalized message recommendation, viral marketing and others ...
Liangjie Hong, Ovidiu Dan, Brian D. Davison 0001   +2 more
openaire   +1 more source

Prediction-as-a-Service for Meme Popularity

2017 IEEE International Conference on Services Computing (SCC), 2017
Memes are topics that spread among people in a community. They could be ideas, behaviors, or styles, etc. Recent research found that the spreading of memes on microblogs displays epidemic patterns, while their popularity is predictable. Aiming for high accuracy, complex models that consider the structural details of community graphs are common.
Victor W. Chu, Raymond K. Wong 0001, Fang Chen 0001, Chi-Hung Chi   +3 more
openaire   +1 more source

Modelling and predicting news popularity

Pattern Analysis and Applications, 2012
We explore the problem of learning to predict the popularity of an article in online news media. By "popular" we mean an article that was among the "most read" articles of a given day in the news outlet that published it. We show that this cannot be modelled simply as the binary classification task of separating popular from unpopular articles, thereby
Hensinger, Elena, Flaounas, Ilias, Cristianini, Nello   +2 more
openaire   +2 more sources

Prediction of online topics’ popularity patterns

Journal of Information Science, 2020
Popularity prediction of online contents is always a tool of emergency management, business decision-making, and public opinion monitoring. Most previous work has made efforts to predict the volumes or levels of popularity, but patterns of popularity evolution are remaining largely unexplored. Actually, topic popularity patterns can offer more detailed
Hengmin Zhu, Yanshuang Mei, Jing Wei 0004, Chao Shen   +3 more
openaire   +2 more sources

Popularity prediction on vacation rental websites

Neurocomputing, 2020
Abstract In the personal house renting scenario, customers usually make quick assessments based on previous customers' reviews, which makes such reviews essential for the business. If the house is assessed as popular, a Matthew effect will be observed as more people will be willing to book it.
Yang Li, Erik Cambria, Suhang Wang
exaly   +5 more sources

Popularity Prediction in Microblogging Network

2014
Popularity prediction in microblogging network aims to predict the future popularity of a tweet based on the observation in the early stages. Existing studies have investigated many features for prediction. However, features from the users who have potential to retweet a tweet have not been fully explored for this problem.
Shuai Gao, Jun Ma 0001, Zhumin Chen
openaire   +2 more sources

Predicting Information Popularity

Proceedings of the 2017 2nd International Conference on Communication and Information Systems, 2017
In this paper, we explore if information characteristics, including accuracy, familiarity, fluency, importance, informativeness and relevance, can predict the popularity of a message posted and reposted on Sina Weibo, the most popular social media platform in mainland China.
Jilei Lin, Yipei Huang, Ying Gao, Rongjuan Chen   +3 more
openaire   +1 more source

Event detection and popularity prediction in microblogging

Neurocomputing, 2015
Abstract As one of the most influential social media platforms, microblogging is becoming increasingly popular in the last decades. Each day a large amount of events appear and spread in microblogging. The spreading of events and corresponding comments on them can greatly influence the public opinion.
Xiaoming Zhang 0001, Xiaoming Chen 0007, Yan Chen 0019, Senzhang Wang, Zhoujun Li 0001, Jiali Xia   +5 more
openaire   +2 more sources

Retweet Predictive Model for Predicting the Popularity of Tweets

2019
Nowadays, Twitter is one of the most used social networks with over 1.3 billion users. Twitter allows its users to write messages called tweets that now can contain up to 280 characters, having recently increased from 140 characters. Retweeting is Twitter’s key mechanism of information propagation. In this paper, we present a study on the importance of
Nelson Oliveira, Joana Cósta, Catarina Silva 0001, Bernardete Ribeiro   +3 more
openaire   +1 more source