Recommender Systems (RecSys)

GPTKB entity

Statements (61)
Predicate Object
gptkbp:instanceOf gptkb:technology
information filtering system
gptkbp:abbreviation gptkb:Recommender_Systems
gptkbp:hasType collaborative filtering
content-based filtering
hybrid filtering
https://www.w3.org/2000/01/rdf-schema#label Recommender Systems (RecSys)
gptkbp:relatedTo gptkb:artificial_intelligence
gptkb:machine_learning
gptkb:Amazon_recommendation_engine
gptkb:Netflix_Prize
gptkb:RecSys_conference
gptkb:Spotify_recommendation_system
gptkb:YouTube_recommendation_system
deep learning
neural networks
privacy
diversity
precision
F1 score
personalization
recall
data mining
ranking algorithms
scalability
fairness
long tail
novelty
matrix factorization
cold start problem
context-aware recommendation
evaluation metrics
explainable recommendation
explicit data
explicit feedback
implicit data
implicit feedback
item profile
mean average precision
personalized ranking
popularity bias
root mean square error
serendipity
session-based recommendation
sparsity problem
user engagement
user modeling
user profile
user retention
user satisfaction
user-item interaction
gptkbp:usedFor content filtering
personalized recommendations
product recommendations
gptkbp:usedIn gptkb:media
Advertising
e-commerce
online streaming
news websites
gptkbp:bfsParent gptkb:ACM_SIGCHI
gptkbp:bfsLayer 5