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09/17/2023
Leveraging Large Language Models for Sequential Recommendation
Sequential recommendation problems have received increasing attention in...
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08/23/2023
Economic Recommender Systems – A Systematic Review
Many of today's online services provide personalized recommendations to ...
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08/22/2023
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems
Reinforcement learning serves as a potent tool for modeling dynamic user...
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08/14/2023
A Survey on Point-of-Interest Recommendations Leveraging Heterogeneous Data
Tourism is an important application domain for recommender systems. In t...
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08/02/2023
A Survey on Popularity Bias in Recommender Systems
Recommender systems help people find relevant content in a personalized ...
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04/17/2023
Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning
Reinforcement learning-based recommender systems have recently gained po...
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03/10/2023
Semi-supervised Adversarial Learning for Complementary Item Recommendation
Complementary item recommendations are a ubiquitous feature of modern e-...
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02/06/2023
Recommender Systems: A Primer
Personalized recommendations have become a common feature of modern onli...
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10/21/2022
Collaborative Image Understanding
Automatically understanding the contents of an image is a highly relevan...
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10/19/2022
Multi-Objective Recommender Systems: Survey and Challenges
Recommender systems can be characterized as software solutions that prov...
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09/07/2022
INFACT: An Online Human Evaluation Framework for Conversational Recommendation
Conversational recommender systems (CRS) are interactive agents that sup...
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08/25/2022
Evaluating Conversational Recommender Systems
Conversational recommender systems aim to interactively support online u...
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08/08/2022
INSPIRED2: An Improved Dataset for Sociable Conversational Recommendation
Conversational recommender systems (CRS) that are able to interact with ...
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05/23/2022
A Survey of Research on Fair Recommender Systems
Recommender systems can strongly influence which information we see onli...
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03/17/2022
Conversational Recommendation: A Grand AI Challenge
Animated avatars, which look and talk like humans, are iconic visions of...
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03/10/2022
Balancing Consumer and Business Value of Recommender Systems: A Simulation-based Analysis
Automated recommendations can nowadays be found on many online platforms...
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03/02/2022
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art
Research on recommender systems algorithms, like other areas of applied ...
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11/10/2021
Conversational Recommendation: Theoretical Model and Complexity Analysis
Recommender systems are software applications that help users find items...
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09/06/2021
Towards Retrieval-based Conversational Recommendation
Conversational recommender systems have attracted immense attention rece...
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08/25/2021
Understanding Longitudinal Dynamics of Recommender Systems with Agent-Based Modeling and Simulation
Today's research in recommender systems is largely based on experimental...
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11/06/2020
Session-aware Recommendation: A Surprising Quest for the State-of-the-art
Recommender systems are designed to help users in situations of informat...
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11/06/2020
Digital Nudging with Recommender Systems: Survey and Future Directions
Recommender systems are nowadays a pervasive part of our online user exp...
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11/05/2020
A Black-Box Attack Model for Visually-Aware Recommender Systems
Due to the advances in deep learning, visually-aware recommender systems...
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08/17/2020
Exploring Longitudinal Effects of Session-based Recommendations
Session-based recommendation is a problem setting where the task of a re...
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07/23/2020
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems
In recent years, algorithm research in the area of recommender systems h...
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06/22/2020
Hybrid Session-based News Recommendation using Recurrent Neural Networks
We describe a hybrid meta-architecture – the CHAMELEON – for session-bas...
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06/15/2020
A systematic review and taxonomy of explanations in decision support and recommender systems
With the recent advances in the field of artificial intelligence, an inc...
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04/01/2020
A Survey on Conversational Recommender Systems
Recommender systems are software applications that help users to find it...
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11/18/2019
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
The design of algorithms that generate personalized ranked item lists is...
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10/28/2019
Empirical Analysis of Session-Based Recommendation Algorithms
Recommender systems are tools that support online users by pointing them...
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08/22/2019
Measuring the Business Value of Recommender Systems
Recommender Systems are nowadays successfully used by all major web site...
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07/16/2019
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
Deep learning techniques have become the method of choice for researcher...
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07/12/2019
On the Importance of News Content Representation in Hybrid Neural Session-based Recommender Systems
News recommender systems are designed to surface relevant information fo...
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05/01/2019
Beyond Personalization: Research Directions in Multistakeholder Recommendation
Recommender systems are personalized information access applications; th...
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04/15/2019
Contextual Hybrid Session-based News Recommendation with Recurrent Neural Networks
Recommender systems help users deal with information overload by providi...
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04/02/2019
Are Query-Based Ontology Debuggers Really Helping Knowledge Engineers?
Real-world semantic or knowledge-based systems, e.g., in the biomedical ...
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05/26/2018
Combining Spreadsheet Smells for Improved Fault Prediction
Spreadsheets are commonly used in organizations as a programming tool fo...
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03/26/2018
Evaluation of Session-based Recommendation Algorithms
Recommender systems help users find relevant items of interest, for exam...
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02/23/2018
Sequence-Aware Recommender Systems
Recommender systems are one of the most successful applications of data ...
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07/25/2017