Apr 1, 2012 � The textual features of tags, likes tag frequency, have mostly been used in extracting tags that are related to items. In this paper, we address�...
In this paper, we address the problem of tag recommendation for social media users. This issue is as important as the tag recommendation for items, because the�...
We propose several novel features of tags for machine learning that we call social features as well as textual features. The experimental results of Flickr show�...
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In this study, we address two emerging yet chal- lenging problems in social media: (1) scoring the text tags in terms of the influence to the numbers.
We present KEIC, a tag recommendation framework that unifies Knowledge Enhancement and Interclass Correlation.
Tag Recommendation in the context of Computer Science refers to the process of suggesting relevant tags for web services based on tag co-occurrence and tag�...
In this paper, we propose a personalized deep learning approach for the image tag recommendation that considers the user's preferences, as well as visual�...
May 29, 2023 � This study's main objective was to determine the best ways to characterize a photo in terms of viral marketing and public appealing.
We consider the tag recommendation problem for textual content. The input of the training stage includes a collection of documents, each of which consists of a�...
Jun 7, 2023 � In this paper, we propose a Topic-Guided Tag Recommendation (TGTR) model to recommend tags by jointly incorporating dynamic neural topic.