Results 21 to 30 of about 912 (162)
A Prediction Method of Peak Time Popularity Based on Twitter Hashtags
Understanding the peak time of popularity evolution can provide insights on recommendation systems and online advertising campaigns. Although popularity evolution has been largely studied, the problem of how to predict its peak time remains unexplored ...
Hai Yu, Ying Hu, Peng Shi
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A Survey on Hashtag Recommendations
As the need for recommending most customized products is increasing in order to boost up sales and thus the profits, it has become necessary to make the recommendations more and more targeted towards the end user. While a lot of research has been done on video recommendations for Netflix/YouTube, product recommendations for Amazon/Flipkart, Friend/User
Jain, Kirti, Jindal, Rajni
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Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags [PDF]
In recent years, the task of recommending hashtags for microblogs has been given increasing attention. Various methods have been proposed to study the problem from different aspects. However, most of the recent studies have not considered the differences in the types or uses of hashtags. In this paper, we introduce a novel nonparametric Bayesian method
Yeyun Gong +2 more
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Temporal enhanced sentence-level attention model for hashtag recommendation
Hashtags of microblogs can provide valuable information for many natural language processing tasks. How to recommend reliable hashtags automatically has attracted considerable attention.
Jun Ma +4 more
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Modeling Chinese Microblogs with Five Ws for Topic Hashtags Extraction
Hashtags are important metadata in microblogs and are used to mark topics or index messages. However, statistics show that hashtags are absent from most microblogs.
Zhibin Zhao +6 more
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Hashtag Recommendation for Photo Sharing Services
Hashtags can greatly facilitate content navigation and improve user engagement in social media. Meaningful as it might be, recommending hashtags for photo sharing services such as Instagram and Pinterest remains a daunting task due to the following two reasons.
Suwei Zhang +5 more
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On Recommending Hashtags in Twitter Networks
Twitter network is currently overwhelmed by massive amount of tweets generated by its users. To effectively organize and search tweets, users have to depend on appropriate hashtags inserted into tweets. We begin our research on hashtags by first analyzing a Twitter dataset generated by more than 150,000 Singapore users over a three-month period.
Su Mon Kywe +3 more
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Hit ratio: An Evaluation Metric for Hashtag Recommendation
Hashtag recommendation is a crucial task, especially with an increase of interest in using social media platforms such as Twitter in the last decade. Hashtag recommendation systems automatically suggest hashtags to a user while writing a tweet. Most of the research in the area of hashtag recommendation have used classical metrics such as hit rate ...
Areej Alsini, Du Q. Huynh, Amitava Datta
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Students' perspectives on the use of social media in anatomy medical education: A survey study
Abstract Medical students are increasingly engaging with digital technologies for anatomy learning. However, investigations of students' perceptions of anatomy social media content are lacking. This study aims to explore medical students' perspectives of anatomy social media content and its self‐reported value as a learning resource.
Grace Powderly +5 more
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Abstract Significant meniscal injuries lead to pain and possible early osteoarthritis development. Fibrin clot augmentation represents an effective, cost‐efficient method for improving healing rates in poorly vascularized meniscal tears. This arthroscopic technique shows fibrin clot augmentation combined with horizontal and vertical mattress sutures in
Siddharth Padmanabhan +3 more
wiley +1 more source

