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Analysis for Online Product Recommendation with recalling enhanced recurrent neural network-based sentiment
Recommendation system is used to filter the information according to the customer’s satisfaction. Based on consumer reviews, this approach discovers...
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Potential factors-embedding group recommendation for online education
Online education platform urgently needs recommendation methods to service learning groups. The existing group recommendation methods rely on member...
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Online content-based sequential recommendation considering multimodal contrastive representation and dynamic preferences
The online content, including live streaming and short videos, provides abundant visual and textual product information to users, which offers...
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Product recommendation using enhanced convolutional neural network for e-commerce platform
In the present scenario, the product recommendation system is important to boost sales on many e-commerce websites. The majority of the existing...
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A Survey and Taxonomy of Sequential Recommender Systems for E-commerce Product Recommendation
E-commerce recommendation systems facilitate customers’ purchase decision by recommending products or services of interest (e.g., Amazon). Designing...
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A hybrid collaborative filtering mechanism for product recommendation system
The collaborative model is the needed framework to find a good product in both user- and budget-friendly. These collaborative filtering models have...
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Binarized spiking neural networks optimized with Nomadic People Optimization-based sentiment analysis for social product recommendation
Big data analytics is essential for many industries that use computing applications, like real-time purchasing and e-commerce. Big data is used to...
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Improving Friend Recommendation for Online Learning with Fine-Grained Evolving Interest
Friend recommendation plays a key role in promoting user experience in online social networks (OSNs). However, existing studies usually neglect...
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Next-Cart Recommendation by Utilizing Personalized Item Frequency Information in Online Web Portals
In modern times, next-cart recommendation (NCR) has appeared as an excitable subject of research among researchers and is dominant in e-commerce. In...
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Metacognition-driven user-to-project recommendation for online education services
Various online learning platforms have accumulated a large number of users who are learning or have completed their studies. In which, online...
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ADCB: Adaptive Dynamic Clustering of Bandits for Online Recommendation System
To deal with the insufficient feedbacks and dynamics of individual arrival and item popularity in online recommender, collaborative multi-armed...
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Online meta-learning for POI recommendation
Studying the POI recommendation in an online setting becomes meaningful because large volumes of user-POI interactions are generated in a...
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Technology Acceptance Model for Enhanced Shop** Experience Through Online Recommendation Agent
Nowadays, a company’s website has become one of the typical touchpoints of interaction enabling customers to gain more valuable knowledge about the...
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Korean Online Education Curriculum Resources Recommendation Method Based on User Preference Model
In order to enhance the personalized recommendation effect of Korean online education course resources and improve the accuracy of recommendations....
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Personalized Recommendation Method of Online Distance Teaching Resources Based on User Profiles
The problem of online learning resource overload makes it difficult for online learning users to access learning resources that are of interest or...
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Online Educational Resources Recommendation Algorithm for English Translation Course Based on Collaborative Filtering
In order to recommend more teaching resources to students per unit of time, so that English translation courses can achieve better educational...
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ASIF: attention-based sentiment inquiry framework for profound product recommendations
Online product recommendation has gained much popularity in recent years and has become the most demanding research area that can help consumers make...
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Research on the influence mechanism of key halo effect and Matthew effect on product online word-of-mouth: considering the moderating role of online store service quality
The company benefits greatly from online word-of-mouth (OWM) for its products through e-commerce platforms. However, previous research neglects the...
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Online Distillation and Preferences Fusion for Graph Convolutional Network-Based Sequential Recommendation
Sequential recommendations make an attempt to predict the next item that a user will interact with based on their historical behavior sequence....
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Recommendation Systems as Social Determinants of Health
Recommendation systems operate as underlying algorithms in social media platforms, e-commerce websites, online news websites, community forums, and...
