Session-based recommendation with hypergraph convolutional networks and sequential information embeddings
Session-based recommendation focuses on predicting the next item that an anonymous
user is most likely to click. Due to its privacy-protecting ability, it is receiving increasing …
user is most likely to click. Due to its privacy-protecting ability, it is receiving increasing …
Decentralized recommender system for ambient intelligence of tourism destinations serious game using known and unknown rating approach
Tourism destinations serious game (TDSG) requires the ability to respond to players through
recommendations for selecting appropriate tourist destinations for them as potential tourists …
recommendations for selecting appropriate tourist destinations for them as potential tourists …
[HTML][HTML] Reinforcement learning based trustworthy recommendation model for digital twin-driven decision-support in manufacturing systems
Digital twin is one promising and key technology that emerged with Industry 4.0 to assist the
decision-making process in multiple industries, enabling potential benefits such as reducing …
decision-making process in multiple industries, enabling potential benefits such as reducing …
Managing uncertain preferences of consumers in product ranking by probabilistic linguistic preference relations
Product recommendation helps reduce the difficulty for consumers to make purchases from
overloaded products on e-commerce platforms. However,“ramp-up” problems are common …
overloaded products on e-commerce platforms. However,“ramp-up” problems are common …
A review of marketing recommendation systems
Human nature tends to follow certain patterns in comparing the available options, the
recommendation system is one of the secrets of the success of many companies, and this …
recommendation system is one of the secrets of the success of many companies, and this …
Comparison of extended reality platforms and tools for viewing and exhibiting art
The rapid evolution of mobile smart devices and the development of inexpensive immersive
devices (VR googles, google box etc.) in the past two decades have brought opportunities in …
devices (VR googles, google box etc.) in the past two decades have brought opportunities in …
Context-embedded hypergraph attention network and self-attention for session recommendation
Z Zhang, H Zhang, Z Zhang, B Wang - Scientific Reports, 2024 - nature.com
Modeling user intention with limited evidence in short-term historical sequences is a major
challenge in session recommendation. In this domain, research exploration extends from …
challenge in session recommendation. In this domain, research exploration extends from …
Scientific Articles Recommendation System Based On User's Relatedness Using Item-Based Collaborative Filtering Method
Scientific article recommendation still remains one of the challenging issues in education,
including learning process. Difficulties in finding related articles from research history and …
including learning process. Difficulties in finding related articles from research history and …
advances in goal, plan and activity recognition
We are living in a wonderful era of exciting technological advancements. Prominent among
these advances is the ever expanding reach of Artificial Intelligence (AI) and Machine …
these advances is the ever expanding reach of Artificial Intelligence (AI) and Machine …
COVID-19 on YouTube: A Data-Driven Analysis of Sentiment, Toxicity, and Content Recommendations
V Su, N Thakur - arxiv preprint arxiv:2412.17180, 2024 - arxiv.org
This study presents a data-driven analysis of COVID-19 discourse on YouTube, examining
the sentiment, toxicity, and thematic patterns of video content published between January …
the sentiment, toxicity, and thematic patterns of video content published between January …