Model-based non-Gaussian interest topic distribution for user retweeting in social networks
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DOI: 10.1016/j.neucom.2017.04.078
Abstract: Abstract Retweeting behavior is critical to dissect information diffusion, innovation propagation and events bursting in networks. However, because of the various contents of tweets, recent work mainly focuses on the influential relationship while unable to… read more here.
Keywords: non gaussian; hot tweets; user interest; topic distribution ... See more keywords
CTR Prediction Models Considering the Dynamics of User Interest
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DOI: 10.1109/access.2020.2988115
Abstract: Click-through rate (CTR) prediction is one of the key areas in industrial bidding advertising. Recently, to improve prediction performance, researchers have proposed the interest-based deep models that learn the user’s latent interest from historical click… read more here.
Keywords: ctr prediction; user interest; interest; prediction ... See more keywords
Personalized Recommendation of Social Images by Constructing a User Interest Tree With Deep Features and Tag Trees
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DOI: 10.1109/tmm.2019.2912124
Abstract: In view of the great diversity and complexity of social images, it is of great significance to improve the performance of personalized recommendation by learning a user interest from large-scale social images. Deep learning, as… read more here.
Keywords: social images; personalized recommendation; interest tree; user interest ... See more keywords
Learning and Fusing Multiple User Interest Representations for Micro-Video and Movie Recommendations
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DOI: 10.1109/tmm.2020.2978618
Abstract: Deep learning is known to be effective at automating the generation of representations, which eliminates the need for handcrafted features. For the task of personalized recommendation, deep learning-based methods have achieved great success by learning… read more here.
Keywords: multiple user; learning fusing; user interest; interest representations ... See more keywords
Research Methodology for Analysis of E-Commerce User Activity Based on User Interest using Web Usage Mining
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DOI: 10.5614/itbj.ict.res.appl.2018.12.1.4
Abstract: Visitor interaction with e-commerce websites generates large amounts of clickstream data stored in web access logs. From a business standpoint, clickstream data can be used as a means of finding information on user interest. In… read more here.
Keywords: methodology; commerce; user interest; web usage ... See more keywords