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Empowering neural collaborative filtering with contextual features for multimedia recommendation
A rapid growth in multimedia on various application platforms has made essential the provision of additional assistive technologies to handle...
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USBE: User-similarity based estimator for multimedia cold-start recommendation
To address user cold-start challenge in multimedia recommender systems, we proposed a new model named USBE in this paper. The model doesn’t take the...
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Robust multi-objective visual bayesian personalized ranking for multimedia recommendation
Machine learning classifiers are susceptible to adversarial perturbations, and their existence raises security concerns with a focus on...
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Personalized Recommendation Method of Nursing Multimedia Teaching Resources Based on Mobile Learning
Due to the variety and quantity of nursing multimedia teaching resources, the resource recommendation method has the problem of low recall rate. To...
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End-to-end pseudo relevance feedback based vertical web search queries recommendation
Nowadays, the web has emerged as an enormous multimedia data resource. Social media platforms are becoming the mass producers of user-generated...
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The multimedia recommendation algorithm based on probability graphical model
In the multimedia big data, the demand for personalized multimedia recommendation algorithm is increasing to ease the multimedia information...
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Multimodal Interactive Network for Sequential Recommendation
Building an effective sequential recommendation system is still a challenging task due to limited interactions among users and items. Recent work has...
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Enhancing Multimedia Recommendation Through Item-Item Semantic Denoising and Global Preference Awareness
Multimedia recommendation aims to predict whether users will interact with multimodal items. A few recent works that explicitly learn the semantic...
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Micro video recommendation in multimodality using dual-perception and gated recurrent graph neural network
With the proliferation of mobile Internet devices and the increasing speed of networks, coupled with reduced data costs, individuals now enjoy the...
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Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024
The ImageCLEF evaluation campaign was integrated with CLEF (Conference and Labs of the Evaluation Forum) for more than 20 years and represents a...
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Style-aware adversarial pairwise ranking for image recommendation systems
The vulnerability of Machine Learning (ML) models to adversarial attack and their prominence pose security issues, notably in image recommendation...
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Contrastive Learning-Based Music Recommendation Model
In the rapidly evolving era of digital multimedia, the overwhelming rate of music publication poses a challenge for users seeking efficient access to...
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ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications
In this paper, we provide an overview of the upcoming ImageCLEF campaign. ImageCLEF is part of the CLEF Conference and Labs of the Evaluation Forum...
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Multimodal heterogeneous graph convolutional network for image recommendation
To improve the efficiency of the connection between people and information in specific scenarios, recent work has focused on mining user preferences...
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Multimodal recommendation algorithm based on Dempster-Shafer evidence theory
Multimodal features of items (e.g., text, audio, visual) have been proven to be effective in improving recommendations. Most of the existing...
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Classic Recommendation Algorithms
This chapter introduces four types of classic recommendation algorithms, including content-based recommendation algorithms, classic collaborative...
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Music recommendation using dynamic feedback and content-based filtering
The internet has become inundated with vast amounts of information, making it increasingly difficult for users to find precise and reliable content...
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Dynamic interest modeling via dual learning for recommendation
The personalized recommendation has already taken a crucial role in online services to alleviate information overload. However, most existing works...
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Siamese neural networks in recommendation
Recommender systems are widely adopted as an increasing research and development area, since they provide users with diverse and useful information...
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Multi-task recommendation based on dynamic knowledge graph
Introducing knowledge graphs into recommender systems effectively solves sparsity and cold start problems. However, existing KG recommendation...
