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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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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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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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KMetaTagger: A Knowledge Centric Metadata Driven Hybrid Tag Recommendation Model Encompassing Machine Intelligence
The emergence of Web 3.0 has left very few tag recommendation structures compliant with its complex structure. There is a critical need for newer...
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Design of Tag Recommendation Algorithm in Travel APP Intelligent Guidance System
With the rapid improvement of Internet technology, it has also brought about changes in people’s travel patterns. Internet technology has brought...
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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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MPTR: A Metadata-Driven Prospective Tag Recommendation Model Based on Integrative Classification
The existing World Wide Web is moving toward Web 3.0. It is semantic-based Web and is the existing Web’s extension by technologies and standards...
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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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DTagRecPLS: Diversification of Tag Recommendation for Videos Using Preferential Learning and Differential Semantics
Video tag recommendation is not just necessary but also mandatory in the present-day scenario where multimedia content specifically videos are...
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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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Gift recommendation systems: a review
Gift exchange is a common practice in people’s lives, with a significant proportion of e-commerce sales in the world attributed to gift purchases....
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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...
