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An efficient privacy-preserving recommender system in wireless networks
Recommender systems have been widely used for implementing personalised content on many mobile online services to reduce computational overload and...
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ACP based reinforcement learning for long-term recommender system
Recommender systems aim to suggest the items which can best fit the needs of the users and thus play an important role in online services. To get a...
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A dynamic fuzzy group recommender system based on intuitionistic fuzzy choquet integral aggregation
In this study, a new dynamic fuzzy group recommender system (DFGRS) is investigated, which aims to deal with some critical challenges in the group...
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Building an Efficient Product Recommender System
The prodigious growth of data resulted in selling a wide variety of product categories on e-commerce websites today. To automate the process of...
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Constructing a personalized travel itinerary recommender system with the Internet of Things
With the rapid development of Internet and the application of smart phone, the percentage of people who choose self-guide tour increased...
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Unexpected interest recommender system with graph neural network
Traditional recommender systems often face the filter bubble problem when they focus on recommending familiar items to users. The over-specialized...
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Provisioning a cross-domain recommender system using an adaptive adversarial network model
Recommender system (RS) aims to predict user preferences based on automatic data acquisition, and those collected data assist in achieving the final...
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Neural Network Approaches for Recommender Systems
AbstractRecommender systems are special algorithms that allow users to receive personalized recommendations on topics that interest them. Systems of...
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Hybrid recommender system with core users selection
Recommender system plays an increasingly important role in identifying the individual’s preference and accordingly makes a personalized...
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Thumbnail Personalization in Movie Recommender System
Personalization of the user experience is a key aspect of increasing user engagement and retention on online platforms. In the proposed work, a...
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Recommender System with Apache Spark
The rapid development of data has greatly impacted the storage, analysis, and processing performance of data on systems that use machine learning...
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Debias in Deep Learning Recommender System
In recent years, plenty of researchers work on recommender systems, predicting users’ ratings or preferences for items based on massive data....
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An improved restricted Boltzmann Machine using Bayesian Optimization for Recommender Systems
Several web services comprise a Recommender System (RS) that assists the user to discover new products and services such as movies, books, articles,...
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Privacy protection in cross-platform recommender systems: techniques and challenges
This paper provides an in-depth exploration of privacy protection in crossplatform recommender systems. With the rapid development of information...
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Intelligent Recommender System for Spatial Analysis
One of the main applications of recommender systems is the search and decision making in spatial situations. There is an extensive range of applied...
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An integration method for optimizing the use of explicit and implicit feedback in recommender systems
The recent changes in consumption patterns and the development of the Internet have increased the diversity of user feedback in the recommender...
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Robustness Analysis of Multi-Criteria Top-n Collaborative Recommender System
Recommendation systems have popular methods that help users generate predictions for a product and create product lists based on users’ feedback. The...
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Learning Rate Scheduler for Multi-criterion Movie Recommender System
The future generation of recommender systems in expanding recommendation techniques by including multi-criteria ratings is a crucial concern due to...
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Enhanced Multi-criteria Recommender System TNCRecS for Selection of Smart Phone
Now a day, purchasing of any product via online e-commerce or offline showroom is very challenging task for a customer due to availability of many...
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Assimilation and Contrast: The Two-sided Anchoring Effects of Recommender Systems
Previous studies on the behavioral implications of recommender systems suggest that consumer preferences after consumption are malleable and tend to...