Deep learning models for serendipity recommendations: a survey and new perspectives
Serendipitous recommendations have emerged as a compelling approach to deliver users
with unexpected yet valuable information, contributing to heightened user satisfaction and …
with unexpected yet valuable information, contributing to heightened user satisfaction and …
From psychological curiosity to artificial curiosity: Curiosity-driven learning in artificial intelligence tasks
Psychological curiosity plays a significant role in human intelligence to enhance learning
through exploration and information acquisition. In the Artificial Intelligence (AI) community …
through exploration and information acquisition. In the Artificial Intelligence (AI) community …
Interactive feedback loop with counterfactual data modification for serendipity in a recommendation system
G Jeon, S Kim, S Lee - International Journal of Human–Computer …, 2024 - Taylor & Francis
Users often encounter tedious recommendations as they are continuously exposed to the
recommendation system. In response to this issue, serendipity in a recommendation system …
recommendation system. In response to this issue, serendipity in a recommendation system …
The art of asking: Prompting large language models for serendipity recommendations
Serendipity means an unexpected but valuable discovery. Its elusive nature makes it
susceptible to modeling. In this paper, we address the challenge of modeling serendipity in …
susceptible to modeling. In this paper, we address the challenge of modeling serendipity in …
The impacts of relevance of recommendations and goal commitment on user experience in news recommender design
Cold start and data sparsity are problems hindering the function of news recommender
systems. Optimally serving first-time users through relevant news article recommendations is …
systems. Optimally serving first-time users through relevant news article recommendations is …
Mapping ai avant-gardes in time: Posthumanism, transhumanism, genhumanism
J Brusseau - Discover Artificial Intelligence, 2023 - Springer
Three directions for the AI avant-garde are sketched against the background of time.
Posthumanism changes what we are, and belongs to the radical future. Transhumanism …
Posthumanism changes what we are, and belongs to the radical future. Transhumanism …
Modeling Users' Curiosity in Recommender Systems
Today's recommender systems are criticized for recommending items that are too obvious to
arouse users' interests. Therefore, the research community has advocated some “beyond …
arouse users' interests. Therefore, the research community has advocated some “beyond …
Q-Chef: The impact of surprise-eliciting systems on food-related decision-making
K Grace, E Finch, N Gulbransen-Diaz… - Proceedings of the 2022 …, 2022 - dl.acm.org
Choosing what to eat requires navigating a large volume of information and various
competing factors. While recommendation systems are an effective approach to assist users …
competing factors. While recommendation systems are an effective approach to assist users …
Cloud Computing Product Service Scheme Recommendation System Based on a Hierarchical Knowledge Graph
S Xu, Z Wu, C Shi, M Sun - IEEE Access, 2023 - ieeexplore.ieee.org
It is difficult for users to understand the complex cloud product information for product
selection. Using this information to recommend satisfactory cloud products is a challenge …
selection. Using this information to recommend satisfactory cloud products is a challenge …
User Experience of Recommender System: A User Study of Social-aware Fashion Recommendations System
User experience, which encompasses users' feelings and perceptions, is regarded as a key
element in the evaluation of recommender systems. The existing literature extensively works …
element in the evaluation of recommender systems. The existing literature extensively works …