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Deep Discriminative Session-Based Recommender System
Due to the sequential nature and time-ordered session data, much research in a session-based recommender system (SBRS) focuses on recurrent neural...
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Deep Generative Session-Based Recommender System
The inherent structural sequences in sessions and the mutual influence of complex variables in different time steps make deep generative models...
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Session-Based Recommender Systems Using Deep Learning
This book focuses on the widespread use of deep neural networks and their various techniques in session-based recommender systems (SBRS). It presents...
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Introduction to Session-Based Recommender Systems
Due to the massive growth of data in recent years, recommender systems have become essential tools to improve people’s lives. However, access to...
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Using personalized next session to improve session-based recommender systems
In e-commerce, the session-based personalized recommendation remains challenging due to the limited user information within a single session. Merely...
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Hybrid/Advanced Session-Based Recommender Systems
The deep learning models in SBRS which have been discussed in the previous chapters have their own strengths and weaknesses. Due to the high...
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Learning to Rank in Session-Based Recommender Systems
Today, our daily activities are increasingly dependent on data-oriented systems. A new trend emerged based on machine learning techniques to rank 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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Diversification in session-based news recommender systems
Recommender systems are widely applied in digital platforms such as news websites to personalize services based on user preferences. In news...
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Tag2Seq: Enhancing Session-Based Recommender Systems with Tag-Based LSTM
A key problem of session-based recommendation (sequence pattern or neighborhood-based recommendation) is to predict items of interest based on...
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Session-Based Recommender Systems
Session-based recommendation is concerned with the problem of tailoring item suggestions according to the short-term needs and assumed intents of the...
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Neighbor enhanced contextual graph neural network for session-based recommendation
Session-based recommender system (SBRS) has received increasingly extensive attention in many fields, predicting whether a user will click on the...
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A large scale benchmark for session-based recommendations on the legal domain
The proliferation of legal documents in various formats and their dispersion across multiple courts present a significant challenge for users seeking...
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Hybrid session-aware recommendation with feature-based models
Session-based recommender systems model the interests of users based on their browsing behavior with the goal of making suitable item suggestions in...
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Session based recommendation system using gradient descent temporal CNN for e-commerce application
In practice, the most important aspect has been to suggest items of interest to users based on their prior choices. In recent decades, recommendation...
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A Session-Based Recommender System for Learning Resources
Learning resource recommendation systems can help learners find suitable resources (e.g., books, journals, …) for learning and research. In...
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User session interaction-based recommendation system using various machine learning techniques
A recommendation system can help users to find relevant products or services that they might want to buy or consume. In most of the real-world...
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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 generic architecture of an affective recommender system for e-learning environments
Personalization of suggestions of contents plays a key role in adaptive virtual learning environments. Good recommendations can raise the interest of...
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MGU-GNN: Minimal Gated Unit based Graph Neural Network for Session-based Recommendation
AbstractSession-based recommender systems (SBRS) play a crucial role in predicting the next click of a user from anonymous session data on numerous...
