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Hashtag recommendation for hyperlinked tweets
Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, 2014Presence of hyperlink in a tweet is a strong indication of tweet being more informative. In this paper, we study the problem of hashtag recommendation for hyperlinked tweets (i.e., tweets containing links to Web pages). By recommending hashtags to hyperlinked tweets, we argue that the functions of hashtags such as providing the right context to ...
Surendra Sedhai, Aixin Sun
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Graph Summarization for Hashtag Recommendation
2015 3rd International Conference on Future Internet of Things and Cloud, 2015Hash tag recommendation is the problem of finding interesting hash tags for a user, which are not easily found via Twitter search. Searching a hash tag simply shows a list of tweets, each contains the query hash tag string. To find even more relevant hash tags, we propose to use a graph-based approach to find similar hash tags by using the social ...
Mohammed Al-Dhelaan, Hadel Alhawasi
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Hashtag Recommendation for Enterprise Applications
Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, 2016Hashtags have been popularly used in several social cum consumer network settings such as Twitter and Facebook. In this paper, we consider the problem of recommending hashtags for enterprise applications. These applications include emails (e.g., Outlook), enterprise social networks (e.g., Yammer) and special interest group email lists.
Dhruv Mahajan +6 more
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Leveraging Affective Hashtags for Ranking Music Recommendations
IEEE Transactions on Affective Computing, 2021Mood and emotion play an important role when it comes to choosing musical tracks to listen to. In the field of music information retrieval and recommendation, emotion is considered contextual information that is hard to capture, albeit highly influential. In this study, we analyze the connection between users' emotional states and their musical choices.
Eva Zangerle +3 more
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Evolutionary Personalized Hashtag Recommendation
2014Hashtags, starting with a symbol “#” ahead of terms, are widely used and inserted anywhere within posts as they present rich sentiment information on topics that people are really interested in. In this paper, we focus on the problem of hashtag recommendation considering its personalized and evolutionary aspects.
Jianjun Yu, Yi Shen
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Hashtag Recommendation with Attention-Based Neural Image Hashtagging Network
2018With the increasing number of microblog users, the hashtag recommendation task has become an important component in social media. Most hashtag recommendation related methods get relative low precisions, because hashtags are not necessarily related to the content of tweets, which makes hashtag recommendation more challenging.
Gaosheng Wu +5 more
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Microblogging Hashtag Recommendation Considering Additional Metadata
2020Microblogging is used to broadcast short messages in form of text, pictures, links, and videos to the followers or subscribers on the Internet. The hashtag is the keyword or metadata that is used to mark messages, which allow users to classify or find the related posts easily.
Anitha Anandhan +2 more
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Hashtag recommendation for multimodal microblog posts
Neurocomputing, 2018In microblogging services, authors can use hashtags to mark keywords or topics in microblogs. Many live social media applications (e.g., microblog retrieval, classification) can gain great benefit from these manually labeled tags. However, only a small partition of microblogs contains hashtags.
Yeyun Gong, Qi Zhang, Xuanjing Huang
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Hashtag our stories: Hashtag recommendation for micro-videos via harnessing multiple modalities
Knowledge-Based Systems, 2020Abstract Due to the short attention span and instant gratification phenomenon, micro-videos are growing exponentially while gaining more and more concerns. Yet the sheer number of micro-videos leads to severe information overload issues, making it difficult for users to identify their desired micro-videos.
Da Cao +4 more
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Hashtag Recommendation Based on User Tweet and Hashtag Classification on Twitter
2014With the explosive popularity of various social network services (SNSs), an enormous number of user documents are generated and shared daily by users. Considering the volume of user documents, efficient methods for grouping or searching relevant user documents are required.
Mina Jeon, Sanghoon Jun, Eenjun Hwang
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