Results 1 to 10 of about 25,654,881 (342)
International Journal of Artificial Intelligence and Machine Learning, 2021 The most challenging problem in human resources specially in the IT digital services company, is to assign the best collaborator’s in the adequate project , then ensure the delivery’s performance.in this paper we aim to develop à recommandation System using based-content and collaborative filtering in order to recommend potential profiles for a new job
Dr. ML Sharma C Vinay Kumar Saini and Jai Raj Singh
semanticscholar +4 more sources
Recommendation System Using Autoencoders
Applied Sciences, 2020 The magnitude of the daily explosion of high volumes of data has led to the emergence of the Big Data paradigm. The ever-increasing amount of information available on the Internet makes it increasingly difficult for individuals to find what they need ...
Diana Ferreira +3 more
doaj +2 more sources
Health Recommendation System using Deep Learning-based Collaborative Filtering
Heliyon, 2023 The crucial aspect of the medical sector is healthcare in today's modern society. To analyze a massive quantity of medical information, a medical system is necessary to gain additional perspectives and facilitate prediction and diagnosis.
P. Chinnasamy +5 more
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A review of movie recommendation system: Limitations, Survey and Challenges
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2020 Recommendation System is a major area which is very popular and useful for people to take proper decision. It is a method that helps user to find out the information which is beneficial for the user from variety of data available.
Chaurasia Neha Sunilkumar
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Survey of Graph Neural Network in Recommendation System [PDF]
Jisuanji kexue yu tansuo, 2022 Recommendation system (RS) was introduced because of a lot of information. Due to the diversity, complexity, and sparseness of data, traditional recommendation system can not solve the current problem well.
WU Jing, XIE Hui, JIANG Huowen
doaj +1 more source
MuseChat: A Conversational Music Recommendation System for Videos [PDF]
Computer Vision and Pattern Recognition, 2023 Music recommendation for videos attracts growing interest in multi-modal research. However, existing systems focus primarily on content compatibility, often ignoring the users' preferences.
Zhikang Dong +4 more
semanticscholar +1 more source
Physics Reports, 2012 97 pages, 20 figures (To appear in Physics Reports)
Lu L. +5 more
openaire +4 more sources
A Review of Text-Based Recommendation Systems
IEEE Access, 2021 Many websites over the Internet are producing a variety of textual data; such as news, research articles, ebooks, personal blogs, and user reviews. In these websites, the textual data is so large that the process of finding pertinent information by a ...
Safia Kanwal +3 more
doaj +1 more source
Monolith: Real Time Recommendation System with Collisionless Embedding Table [PDF]
ORSUM@RecSys, 2022 Building a scalable and real-time recommendation system is vital for many businesses driven by time-sensitive customer feedback, such as short-videos ranking or online ads. Despite the ubiquitous adoption of production-scale deep learning frameworks like
Zhu-Ping Liu +10 more
semanticscholar +1 more source
Survey of Research on Personalized News Recommendation Techniques
Jisuanji kexue yu tansuo, 2021 News happens all the time and many people have developed the habits of reading news. Among numerous news media, network media gets preference for its convenience and celerity. However, too much net-news results in information overload.
WANG Shaoqing, LI Xinxin, SUN Fuzhen, FANG Chun
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