Statements (50)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Recommender System Technique
|
| gptkbp:approach |
Item-based Collaborative Filtering
User-based Collaborative Filtering |
| gptkbp:canBe |
Explicit Feedback
Implicit Feedback Memory-based Model-based |
| gptkbp:challenge |
Scalability
Privacy Concerns Data Sparsity Cold Start Shilling Attacks |
| gptkbp:compatibleWith |
Explicit Item Features
|
| gptkbp:dependsOn |
Behavioral Data
Item Ratings User Preferences |
| gptkbp:example |
gptkb:Singular_Value_Decomposition
Matrix Factorization Alternating Least Squares k-Nearest Neighbors |
| gptkbp:fieldOfStudy |
gptkb:Machine_Learning
gptkb:artificial_intelligence gptkb:museum Data Mining |
| gptkbp:goal |
Find Similar Items
Find Similar Users Predict User Preferences |
| https://www.w3.org/2000/01/rdf-schema#label |
Collaborative Filtering
|
| gptkbp:improves |
Deep Learning
Regularization Clustering Dimensionality Reduction Hybrid Approaches |
| gptkbp:introducedIn |
gptkb:museum
|
| gptkbp:output |
Similarity Scores
Predicted Ratings Recommendation List |
| gptkbp:popularizedBy |
GroupLens Project
|
| gptkbp:relatedTo |
Content-based Filtering
Hybrid Recommender Systems |
| gptkbp:suffersFrom |
gptkb:Cold_Start_Problem
Sparsity Problem |
| gptkbp:usedBy |
gptkb:Amazon
gptkb:Netflix gptkb:Spotify gptkb:YouTube |
| gptkbp:usedFor |
Personalized Recommendations
|
| gptkbp:usedIn |
Recommendation Systems
|
| gptkbp:bfsParent |
gptkb:Recommender_Systems
|
| gptkbp:bfsLayer |
7
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