Results 121 to 130 of about 912 (162)
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Evolutionary Personalized Hashtag Recommendation

Lecture Notes in Computer Science, 2014
Hashtags, 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, Yu Jianjun
exaly   +2 more sources

Research topics and trends of the hashtag recommendation domain

Scientometrics, 2021
In microblogging platforms, hashtags are used to annotate the microblogs for a more convenient categorization and analysis of the published contents. Due to the fast growth of the social network, the hashtag recommendation field has attracted the researchers’ attention most recently.
Navid Yazdanjue, Hossain Liaquat
exaly   +2 more sources

Hashtag Recommendation Based on Multi-Features of Microblogs

Journal of Computer Science and Technology, 2018
Hashtag recommendation for microblogs is a very hot research topic that is useful to many applications involving microblogs. However, since short text in microblogs and low utilization rate of hashtags will lead to the data sparsity problem, it is difficult for typical hashtag recommendation methods to achieve accurate recommendation. In light of this,
Fei-Fei Kou   +6 more
exaly   +2 more sources

Hashtag our stories: Hashtag recommendation for micro-videos via harnessing multiple modalities

Knowledge-Based Systems, 2020
Abstract 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.
Huigui Rong, Da Cao, Zheng Qin
exaly   +2 more sources

Learning Sentence-to-Hashtags Semantic Mapping for Hashtag Recommendation on Microblogs

ACM Transactions on Knowledge Discovery from Data, 2021
The growing use of microblogging platforms is generating a huge amount of posts that need effective methods to be classified and searched. In Twitter and other social media platforms, hashtags are exploited by users to facilitate the search, categorization, and spread of posts.
Cantini R.   +3 more
openaire   +1 more source

Time-Sensitive Hashtag Frequency-Inverse Hashtag Ubiquity (THF-IHU) Algorithm for Hashtag Recommendation in Twitter

2022 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2022
Shang-Ke Gu, Rachsuda Setthawong
exaly   +2 more sources

Hashtag Recommendation for Enterprise Applications

Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, 2016
Hashtags 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 0001   +6 more
openaire   +1 more source

Hashtag recommendation for hyperlinked tweets

Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, 2014
Presence 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
openaire   +1 more source

Graph Summarization for Hashtag Recommendation

2015 3rd International Conference on Future Internet of Things and Cloud, 2015
Hash 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
openaire   +1 more source

New Hashtags’ Weighting Schemes for Hashtag and User Recommendation on Twitter

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA), 2017
Hashtags are crucial social data that are useful for multiple purposes, such as tweets' classification, indexing, content categorization, search or recommendation. Hashtags recommendation on Twitter is an important issue, seeing the importance of this social data and the need of social users to be provided with personalized information that fits their ...
Abir Gorrab   +3 more
openaire   +2 more sources

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