Turning up the dial: the evolution of a cybercrime market through set-up, stable, and covid-19 eras
Trust and reputation play a core role in underground cybercrime markets, where participants
are anonymous and there is little legal recourse for dispute arbitration. These underground …
are anonymous and there is little legal recourse for dispute arbitration. These underground …
A hybrid recommender system based-on link prediction for movie baskets analysis
M Vahidi Farashah, A Etebarian, R Azmi… - Journal of Big Data, 2021 - Springer
Over the past decade, recommendation systems have been one of the most sought after by
various researchers. Basket analysis of online systems' customers and recommending …
various researchers. Basket analysis of online systems' customers and recommending …
An enhanced recommender system based on heterogeneous graph link prediction
Graph-based data has gained popularity in various applications, including social networks,
recommendation systems, and knowledge graphs. Detecting missing links between nodes is …
recommendation systems, and knowledge graphs. Detecting missing links between nodes is …
HealthAssistantBot: a personal health assistant for the Italian language
In this article, we present HealthAssistantBot, an intelligent virtual assistant able to talk with
patients in order to understand their symptomatology, suggest doctors, and monitor …
patients in order to understand their symptomatology, suggest doctors, and monitor …
Intelligent energy management systems: a review
Climate change has become a major problem for humanity in the last two decades. One of
the reasons that caused it, is our daily energy waste. People consume electricity in order to …
the reasons that caused it, is our daily energy waste. People consume electricity in order to …
Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile Phones
Speech-based diaries from mobile phones can capture paralinguistic patterns that help
detect mental illness symptoms such as suicidal ideation. However, previous studies have …
detect mental illness symptoms such as suicidal ideation. However, previous studies have …
Combining community-based knowledge with association rule mining to alleviate the cold start problem in context-aware recommender systems
I Viktoratos, A Tsadiras, N Bassiliades - Expert systems with applications, 2018 - Elsevier
Abstract Successful Location-Based Services should offer accurate and timely information
consumption recommendations to their customers, relevant to their contextual situation. To …
consumption recommendations to their customers, relevant to their contextual situation. To …
Recommender systems based on graph embedding techniques: A review
Y Deng - IEEE Access, 2022 - ieeexplore.ieee.org
As a pivotal tool to alleviate the information overload problem, recommender systems aim to
predict user's preferred items from millions of candidates by analyzing observed user-item …
predict user's preferred items from millions of candidates by analyzing observed user-item …
Finding the optimal CO2 adsorption material: Prediction of multi-properties of metal-organic frameworks (MOFs) based on DeepFM
Metal-organic frameworks (MOFs) has been widely considered as promising candidates for
CO 2 adsorption due to their high porosity and high structural adjustability. By combining the …
CO 2 adsorption due to their high porosity and high structural adjustability. By combining the …
Data protection in AI services: A survey
C Meurisch, M Mühlhäuser - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Advances in artificial intelligence (AI) have shaped today's user services, enabling
enhanced personalization and better support. As such AI-based services inevitably require …
enhanced personalization and better support. As such AI-based services inevitably require …