Google published a research paper about helping recommender systems understand what users mean when they interact with them. Their goal with this new approach is to overcome the limitations inherent ...
Abstract: Recommender systems are essential components of modern information technology, particularly in e-commerce platforms, where they help users navigate information overload through personalized ...
ClickFix attacks have evolved to feature videos that guide victims through the self-infection process, a timer to pressure targets into taking risky actions, and automatic detection of the operating ...
recommend/ ├── data/ │ ├── raw/ # 原始数据集（从Kaggle下载） │ └── processed/ # 处理后的数据 ├── src ...
There once was a time where going viral on the internet actually meant something. Long ago, in the early 2010s, 500,000 views could actually land you on daytime TV, where you could experience the ...
Yandex has introduced ARGUS (AutoRegressive Generative User Sequential modeling), a large-scale transformer-based framework for recommender systems that scales up to one billion parameters. This ...
ABSTRACT: The offline course “Home Plant Health Care,” which is available to the senior population, serves as the study object for this paper. Learn how to use artificial intelligence technologies to ...
Download PDF Join the Discussion View in the ACM Digital Library Figure 1. An example of interaction between a Travel Agent and a user. The agent can serve as an information carrier for travel-related ...
Recommendation systems are becoming increasingly important in today’s extremely busy world. People are always short on time with the myriad tasks they need to accomplish in the limited 24 hours.
Recommender systems have become indispensable in the information age, guiding users through vast datasets and enabling personalized, contextually relevant interactions. By leveraging user and item ...
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