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Metric learning with adversarial hard negative samples for tag recommendation
Tag recommendation can suggest a collection of tags to users and effectively describe the characteristics of resources or users’ preferences, thereby...
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CTAN: Collaborative Tag-Aware Attentive Network for Recommendation
Graph-based methods are one of the effective means to solve the data sparsity and cold start problems. They can not only ensure the accuracy of the...
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Personalized tag recommendation via denoising auto-encoder
Personalized tag recommender systems automatically recommend users a set of tags used to annotate items according to users’ past tagging information....
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Hyperbolic Personalized Tag Recommendation
Personalized Tag Recommendation (PTR) aims to automatically generate a list of tags for users to annotate web resources, the so-called items,...
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Multi-representation web service recommendation system based on attention mechanism
Recently, mashup developers seek to integrate multiple services with complementary functionalities from a large amount of web services. With so many...
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SGNNRec: A Scalable Double-Layer Attention-Based Graph Neural Network Recommendation Model
Due to the information from the multi-relationship graphs is difficult to aggregate, the graph neural network recommendation model focuses on...
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SIITR: A Semantic Infused Intelligent Approach for Tag Recommendation
In the present-day time, Tag recommendation is of utmost importance as it heads into annotations and labeling of several entities or elements, be it...
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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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Enhancing scenic recommendation and tour route personalization in tourism using UGC text mining
Tourism is vital to national economic growth and fulfilling individuals’ spiritual pursuits. However, traditional scenic recommendation algorithms...
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TagTag: A Novel Framework for Service Tags Recommendation and Missing Tag Prediction
Currently, service tag recommendation plays an important role in the study of services. As a result, there have been many service tag recommendation...
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Tag-Extended Collaborative Filtering Recommendation Algorithm
For most of recommendation algorithms that use the relationship between tags, users, and items have to face the problem of tag sparse. Aiming at the...
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MF-TagRec: Multi-feature Fused Tag Recommendation for GitHub
GitHub is one of the most popular hosting platforms for open-source projects, where tags are widely used to facilitate software organization and...
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Group-to-group recommendation with neural graph matching
Nowadays, with the development of recommender systems, an emerging recommendation scenario called group-to-group recommendation has played a vital...
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Multilayer Tag Extraction for Music Recommendation Systems
With hundreds and thousands of songs being added to online music streaming platforms everyday, there is a challenge to recommend songs that the users...
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ARIR: an intent recognition-based approach for API recommendation
With the prevalence of service composition, how to recommend API services that meet the Mashup requirements for developers has become a challenging...
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Ripple Knowledge Graph Convolutional Networks for Recommendation Systems
Using knowledge graphs to assist deep learning models in making recommendation decisions has recently been proven to effectively improve the model’s...
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Scholarly recommendation systems: a literature survey
A scholarly recommendation system is an important tool for identifying prior and related resources such as literature, datasets, grants, and...
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Book recommendation system: reviewing different techniques and approaches
E-reading has become more popular by making the number of book readers high in number. With online book reading websites, it is much simpler to read...
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A Neural Inference of User Social Interest for Item Recommendation
User-generated content is daily produced in social media, as such user interest summarization is critical to distill salient information from massive...
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The ultimate recommendation system: proposed Pranik System
In today's fast-paced world, recommendation systems have become indispensable tools, aiding users in making personalized decisions amidst an...
