Results 11 to 20 of about 26,996,454 (309)
Multimodal Movie Recommendation System Using Deep Learning
Mathematics, 2023 Recommendation systems, the best way to deal with information overload, are widely utilized to provide users with personalized content and services with high efficiency.
Yongheng Mu, Yun Wu
exaly +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
doaj +2 more sources
Recommendation System with Biclustering
Big Data Mining and Analytics, 2022 The massive growth of online commercial data has raised the request for an automatic recommender system to benefit both users and merchants. One of the most frequently used recommendation methods is collaborative filtering, but its accuracy is limited by
Jianjun Sun, Yu Zhang
doaj +2 more sources
Mathematics, 2022 Movies are one of the integral components of our everyday entertainment. In today’s world, people prefer to watch movies on their personal devices. Many movies are available on all popular Over the Top (OTT) platforms.
Sandipan Sahu +5 more
doaj +3 more sources
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
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
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
doaj +1 more source
Recipe Recommendation System Using TF-IDF [PDF]
ITM Web of Conferences, 2022 A Recipe Recommendation System is being proposed in this following paper. Food recommendation is a new area, with few systems that are focus on analysing and user preferences and constraints such as ingredients available at their side being deployed in ...
Chhipa Shubham +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