|
gptkbp:instanceOf
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gptkb:Information_Filtering_System
|
|
gptkbp:application
|
gptkb:News_Aggregation
Social Media
E-commerce
Online Streaming
Online Advertising
|
|
gptkbp:assesses
|
gptkb:Recall
AUC
Precision
F1 Score
Mean Average Precision
NDCG
|
|
gptkbp:challenge
|
gptkb:Serendipity
gptkb:Cold_Start_Problem
Diversity
Scalability
Privacy
Sparsity
|
|
gptkbp:fieldOfStudy
|
gptkb:Machine_Learning
gptkb:artificial_intelligence
Computer Science
|
|
gptkbp:firstAppearance
|
1990s
|
|
gptkbp:goal
|
Personalization
User Engagement
Increased Sales
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Recommender Systems
|
|
gptkbp:method
|
gptkb:Collaborative_Filtering
Content-based Filtering
Hybrid Filtering
|
|
gptkbp:notableConference
|
gptkb:SIGIR
gptkb:RecSys
gptkb:WWW_Conference
gptkb:KDD
|
|
gptkbp:notableContributor
|
gptkb:Francesco_Ricci
gptkb:Yehuda_Koren
gptkb:Yong_Zheng
|
|
gptkbp:notableExample
|
gptkb:Facebook_News_Feed
gptkb:Amazon_Product_Recommendations
gptkb:Netflix_Recommendation_Engine
gptkb:YouTube_Video_Recommendations
Spotify Music Recommendations
|
|
gptkbp:relatedTo
|
gptkb:museum
gptkb:User_Modeling
Data Mining
Personalization Algorithms
|
|
gptkbp:supportsAlgorithm
|
gptkb:Reinforcement_Learning
Deep Learning
Bayesian Methods
Clustering
Association Rules
Factorization Machines
Graph-based Methods
Matrix Factorization
Nearest Neighbor
|
|
gptkbp:trainer
|
gptkb:Amazon_Review_Dataset
gptkb:MovieLens
gptkb:Netflix_Prize_Dataset
|
|
gptkbp:bfsParent
|
gptkb:Recommender_Systems_(RecSys)
|
|
gptkbp:bfsLayer
|
6
|