An overview of recommender systems in the healthy food domain
Recently, food recommender systems have received increasing attention due to their
relevance for healthy living. Most existing studies on the food domain focus on …
relevance for healthy living. Most existing studies on the food domain focus on …
A systematic review of recommender systems and their applications in cybersecurity
This paper discusses the valuable role recommender systems may play in cybersecurity.
First, a comprehensive presentation of recommender system types is presented, as well as …
First, a comprehensive presentation of recommender system types is presented, as well as …
DeepReco: deep learning based health recommender system using collaborative filtering
In today's digital world healthcare is one core area of the medical domain. A healthcare
system is required to analyze a large amount of patient data which helps to derive insights …
system is required to analyze a large amount of patient data which helps to derive insights …
[图书][B] Knowledge-based configuration: From research to business cases
Knowledge-based Configuration incorporates knowledge representation formalisms to
capture complex product models and reasoning methods to provide intelligent interactive …
capture complex product models and reasoning methods to provide intelligent interactive …
Coresets for clustering with fairness constraints
L Huang, S Jiang, N Vishnoi - Advances in neural …, 2019 - proceedings.neurips.cc
In a recent work,\cite {chierichetti2017fair} studied the following``fair''variants of classical
clustering problems such as k-means and k-median: given a set of n data points in R^ d and …
clustering problems such as k-means and k-median: given a set of n data points in R^ d and …
New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests
The aim of recommender systems is to provide users with items that could be of their
interest. However one of the biggest drawbacks from recommender systems is the so called …
interest. However one of the biggest drawbacks from recommender systems is the so called …
[图书][B] Advances in artificial and human intelligence in the modern era
In the realm of psychological and brain sciences, there is a growing urgency to refine
individual performance using personalized interventions that account for unique cognitive …
individual performance using personalized interventions that account for unique cognitive …
Meta-learning for user cold-start recommendation
H Bharadhwaj - 2019 International Joint Conference on Neural …, 2019 - ieeexplore.ieee.org
Recent studies in recommender systems emphasize the importance of dealing with the cold-
start problem ie the modeling of new users or items in the recommendation system. Meta …
start problem ie the modeling of new users or items in the recommendation system. Meta …
Aspects influencing food intake and approaches towards personalising nutrition in the elderly
Healthy diets have been demonstrated to complement benefits of physical activity, physical
condition and mental wellbeing, all of them being important factors influencing the quality of …
condition and mental wellbeing, all of them being important factors influencing the quality of …
Developing a Vietnamese tourism question answering system using knowledge graph and deep learning
In recent years, Question Answering (QA) systems have increasingly become very popular
in many sectors. This study aims to use a knowledge graph and deep learning to develop a …
in many sectors. This study aims to use a knowledge graph and deep learning to develop a …