Neural embedding collaborative filtering for recommender systems
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-04920-9
Abstract: The main purpose of collaborative filtering algorithm is to provide a personalized recommender system based on past interactions of each user (e.g., clicks and purchases). Among various collaborative filtering techniques, matrix factorization is widely adopted… read more here.
Keywords: collaborative filtering; recommender; neural embedding; matrix factorization ... See more keywords
Extraction of Medication-Effect Relations in Twitter Data with Neural Embedding and Recurrent Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "Studies in health technology and informatics"
DOI: 10.3233/shti220182
Abstract: Recently, an active area of research in pharmacovigilance is to use social media such as Twitter as an alternative data source to gather patient-generated information pertaining to medication use. Most of thr published work focuses… read more here.
Keywords: medication; neural network; effect; recurrent neural ... See more keywords