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Recommender System Based on Network Structure Link Analysis Technique Through Community Detection in Social Network to Handle the Cold-Start Problem
The recommendation system plays a pivotal role in electronic commerce sites to trade their products and services to consumers. The system further...
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A Hybrid Recommender System for Pedagogical Resources
The present paper proposes an e-learning system that combines popularity and collaborative filtering techniques to recommend pedagogical resources. A...
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Semi-supervised recommender system for bone implant ratio recommendation
Millions of people suffer from bone loss and diseases each year, which give rise to bone-related medical treatments. Multi-material coatings composed...
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Heterogeneous Neural Collaborative Filtering for a Business Recommender System
In recent years, lots of techniques applied and optimized to make the recommender system better. Most of them mainly focus on the target interaction...
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A Recommender Engine for Scientific Paper Peer-Reviewing System
The peer-reviewing process governs the quality of scientific researches by justifying answers to some meaningful research questions and concluding...
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Autonomous recommender system for reconnaissance tasks using a swarm of UAVs and asynchronous shepherding
Several artificial intelligence-based systems have been proposed to help human operators in safety-critical domains such as air-traffic control...
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Using Incremental Algorithm in Hybrid Recommender System Combined Sentiment Analysis
Beside the problem how to improve hybrid system combine sentiment analysis, develo** incremental algorithms become an interesting research in...
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A Recommender System to Close Skill Gaps and Drive Organisations’ Success
Fast-paced technological and social change is leading to widening skill gaps in the workforce, posing a significant risk for organisations. To bridge...
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A Recommender System for Information Diffusion
The online social networks (OSNs) have become the significant elements of information society used for maintaining social relationships. Community...
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Demography-Based Hybrid Recommender System for Movie Recommendations
Recommender systems have been explored with different research techniques including content-based filtering and collaborative filtering. The main...
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Recommender Learning
Recommender systems widely exist in a massive number of web applications including news apps, social media platforms, location-based services, and...
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Social Recommender Systems in E-Learning Environments: A Literature Review
Since the beginning of the COVID-19 pandemic, e-learning platforms have received a lot of attention as a way to acquire knowledge remotely. These...
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Explainable Recommender Systems: From Theory to Practice
Recommender systems support users’ decision-making, and they are key for hel** them discover resources or relevant items in an...
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Content-Based Recommender System for Similar Products in E-Commerce
The recommendation system aims to provide the best suggestion to the user by analysing the buyer’s interest. Most of the time, we can get good...
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OTT (Netflix) Film Recommender System Using Data Mining
With the current COVID-19 situation on hand, the load of entertainment has completely fallen onto the OTT platforms for over a year now, and as a...
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Literature Review on Recommender Systems: Techniques, Trends and Challenges
Nowadays, Recommender Systems (RSs) have become a necessity especially with the rapid increasing of the numerical data volume. In fact, internet’s...
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Designing a Recommender System for Articles Using Implicit Feedback
The main motive of this work is to build a recommender system for articles read online on a website. There are many methods in the modern machine...
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Comparative study of recommender system approaches and movie recommendation using collaborative filtering
The increasing demand for personalized information has resulted in the development of the Recommender System (RS). RS has been widely utilized and...
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An Application-Oriented Review of Blockchain-Based Recommender Systems
Recommender systems (RS) have been around us since the beginning of the new age of technology, consisting of artificial intelligence, machine...
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Analysis of Deep Learning Methods Used in Tourism Recommender Systems
Recommender systems are widely used users’ lives easier by assisting them in narrowing down their product of choice from the various alternatives....