Results 21 to 30 of about 11,144 (177)
Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations [PDF]
, 2018 To help their users to discover important items at a particular time, major websites like Twitter, Yelp, TripAdvisor or NYTimes provide Top-K recommendations (e.g., 10 Trending Topics, Top 5 Hotels in Paris or 10 Most Viewed News Stories), which rely on ...
Chakraborty, Abhijnan +4 more
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Time-aware topic recommendation based on micro-blogs [PDF]
, 2012 Topic recommendation can help users deal with the information overload issue in micro-blogging communities. This paper proposes to use the implicit information network formed by the multiple relationships among users, topics and micro-blogs, and the ...
Christen, Peter +3 more
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Research on Twitter User Tag Preference Prediction Based on Thompson Sampling Algorithm [PDF]
ITM Web of ConferencesTwitter's user behaviour data is crucial for studying user patterns and content recommendation. To achieve this goal, the paper first preprocesses a Twitter user dataset obtained from Kaggle.
Shi Yixuan
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A Prediction Method of Peak Time Popularity Based on Twitter Hashtags
IEEE Access, 2020 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
, 2020 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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Personalized Hashtag Recommendation for Micro-videos [PDF]
Proceedings of the 27th ACM International Conference on Multimedia, 2019 Personalized hashtag recommendation methods aim to suggest users hashtags to annotate, categorize, and describe their posts. The hashtags, that a user provides to a post (e.g., a micro-video), are the ones which in her mind can well describe the post content where she is interested in.
Wei, Yinwei +5 more
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Language in Our Time: An Empirical Analysis of Hashtags [PDF]
, 2019 Hashtags in online social networks have gained tremendous popularity during the past five years. The resulting large quantity of data has provided a new lens into modern society. Previously, researchers mainly rely on data collected from Twitter to study
Zhang, Yang
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Twitter: A Professional Development and Community of Practice Tool for Teachers [PDF]
, 2018 This article shows how a group of language teachers use Twitter as a tool for continuous professional development through the #MFLtwitterati hashtag. Based on data collected through a survey (n=116) and interviews (n=11), it describes how this collective
Rosell-Aguilar, Fernando
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Dancing to the Partisan Beat: A First Analysis of Political Communication on TikTok
, 2020 TikTok is a video-sharing social networking service, whose popularity is increasing rapidly. It was the world's second-most downloaded app in 2019. Although the platform is known for having users posting videos of themselves dancing, lip-syncing, or ...
Alexandra Alper Greg Roumeliotis Echo Wang +14 more
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Friend Recommendation based on Hashtags Analysis
, 2020 Social networks include millions of users constantly looking for new relationships for personal or professional purposes. Social network sites recommend friends based on relationship features and content information. A significant part of information shared every day is spread in Hashtags. None of the existing content-based recommender systems uses the
Choumane, Ali, Ibrahim, Zein Al Abidin
openaire +2 more sources