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A hybrid semantic recommender system based on an improved clustering
A recommender system is a model that automatically recommends some meaningful cases (such as clips/films/goods/items) to the...
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An actor-critic based recommender system with context-aware user modeling
Recommendation systems empower users with tailored service assistance by learning about their interactions with systems and recommending items based...
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A sentiment-guided session-aware recommender system
Session-aware recommender systems analyze the sequential patterns of user actions to uncover the shifting preferences across sessions. User reviews...
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A novel hotel recommender system incorporating review sentiment and contextual information
Hotel recommender systems are crucial tools that assist tourists in filtering through extraneous hotel information, ensuring they find accommodations...
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Ontology-based recommender system: a deep learning approach
With the massive amount of data available on the Internet, many users face problems when they need access to the information and goods they need....
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Twit-CoFiD: a hybrid recommender system based on tweet sentiment analysis
Internet users are overwhelmed by the vast number of services and products to choose from. This data deluge has led to the need for recommender...
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KGR: A Kernel-Mapping Based Group Recommender System Using Trust Relations
A massive amount of information explosion over the internet has caused a possible difficulty of information overload. To overcome this, Recommender...
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Industrial Recommender System Principles, Technologies and Enterprise Applications
Recommender systems, as a highly popular AI technology in recent years, have been widely applied across various industries. They have transformed the...
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A new improved KNN-based recommender system
Despite all the developments in recommender systems and utilizations of successful application models in the industry, it can be said that there is...
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Recommender System Frontier Topics
This chapter introduces the hotspots of recommender system research, the key challenges of recommender system application, and how to achieve...
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Dynamic user profile for adaptive personalized recommender system using learning automata
The personalized recommender systems provide favorite services based on user preferences and interests. Due to the user's interests changing over...
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State of art and emerging trends on group recommender system: a comprehensive review
A group recommender system (GRS) generates suggestions for a group of individuals, considering not only each person's preferences but also factors...
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A hybrid semantic recommender system enriched with an imputation method
Recommender systems are widely used in many applications. They can be viewed as the predictor systems that are to suggest accurate and highly...
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Robust federated contrastive recommender system against targeted model poisoning attack
Federated recommender systems (FedRecs) have garnered increasing attention recently, thanks to their privacy-preserving benefits. However, the...
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Session-aware recommender system using double deep reinforcement learning
Session-aware recommender systems capture user-specific preferences that emerge within multiple user sessions by leveraging the sequential nature of...
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Multimodal recommender system based on multi-channel counterfactual learning networks
Most multimodal recommender systems utilize multimodal content of user-interacted items as supplemental information to capture user preferences based...
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Securing recommender system via cooperative training
Recommender systems are often susceptible to well-crafted fake profiles, leading to biased recommendations. Among existing defense methods,...
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Co-clustering method for cold start issue in collaborative filtering movie recommender system
Recommender systems play an essential role in decision-making in the information age by reducing information overload via retrieving the most...
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A model for investment type recommender system based on the potential investors based on investors and experts feedback using ANFIS and MNN
This article presents an investment recommender system based on an Adaptive Neuro-Fuzzy Inference System (ANFIS) and pre-trained weights from a...
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Practical Recommender System
This chapter focuses on some problems and considerations in industry applications of recommender systems, and discusses the details of these actual...