Implicit Feedback
Long Tail
Recommendation System
User-Item Matrix
Matrix Completion
Next-Item Prediction
Rating Prediction
Recommendation as Retrieval
Slate Recommendation
Top-N Recommendation
Memory-Based CF
Model-Based CF
Neighborhood Method
User Neighborhood
User Similarity
Adjusted Cosine Similarity
Item Neighborhood
Item Similarity
Item-Item CF
k-Nearest Items
Embedding (RecSys)
Item Factor
Latent Factor
Alternating Least Squares (ALS)
Bayesian Personalized Ranking (BPR)
Factorization Machine (FM)
Field-Aware Factorization Machine (FFM)
Funk SVD
Implicit MF
SVD for Recommendation
Global Mean (RecSys)
MF Regularization
Categorical Features (RecSys)
Content-Based Recommender
Item Profile
Tag-Based Recommendation
User Profile (Content)
Context-Aware Recommendation
Contextual Modeling
Contextual Post-Filtering
Contextual Pre-Filtering
Tensor Factorization
Time-Aware Recommendation
Cascade Hybrid
Feature Combination Hybrid
Hybrid Recommender
Meta-Level Hybrid
Mixed Hybrid
Switching Hybrid
Weighted Hybrid
Generalized Matrix Factorization (GMF)
MLP Recommender
Neural Collaborative Filtering (NCF)
Neural Matrix Factorization
Deep & Cross Network (DCN)
Deep Interest Network (DIN)
Deep Learning Recommendation Model (DLRM)
DeepFM
Wide & Deep
Approximate Nearest Neighbour Retrieval
Embedding Index
In-Batch Negative Sampling
Item2Vec
Sampled Softmax
Two-Tower Model
BERT4Rec
Caser
GRU4Rec
Next-Click Prediction
SASRec
Session-Based Recommendation
GNN-Based Recommender
Neural Graph CF (NGCF)
Diversification (Ranking)
LambdaMART
LambdaRank
Learning to Rank
Listwise Ranking
Pairwise Ranking
Pointwise Ranking
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Learning to rank - Wikipedia Ref…
RankNet
Re-ranking
Unbiased Learning to Rank
XGBoost Ranker
Candidate Generation
Multi-Stage Recommender
Offline Recommendation
Online Recommendation
Ranking Stage
Bandit-Based Recommendation
Contextual Bandit (RecSys)
Exploration-Exploitation (RecSys)
Reinforcement Learning for Recommendation
Thompson Sampling (RecSys)
Cold Start Problem
Gray Sheep Problem
New-Item Cold Start
New-User Cold Start
Leave-One-Out Evaluation
Negative Sampling for Evaluation
Sampled Metrics
MAE (RecSys)
MAP (RecSys)
Mean Reciprocal Rank (MRR)
NDCG
Precision@k
Recall@k
RMSE (RecSys)
Diversity Metric
Click-Through Rate (CTR)
Dwell Time
Counterfactual Evaluation
Doubly Robust Estimation
Inverse Propensity Scoring (IPS)
Off-Policy Evaluation (RecSys)
Propensity Score
Algorithmic Fairness (RecSys)
Differential Privacy in RecSys
Echo Chamber
Federated Recommendation
Filter Bubble
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Implicit Feedback Bias
Popularity Bias
Position Bias
Privacy-Preserving Recommendation
Ranking Calibration
Selection Bias (RecSys)
Attack Detection (RecSys)
Profile Injection Attack
Robustness (RecSys)
Shilling Attack
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Comparing Context-Aware Recommender Systems in Terms of Accuracy and Diversity (Panniello, Tuzhilin, Gorgoglione) PDF 4 terms
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Recommender Systems: Content-based and Collaborative Filtering (Mining of Massive Datasets slides) PDF 3 terms
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Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations (Yi et al.) Art… 3 terms
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Shilling attacks against recommender systems: a comprehensive survey (Gunes et al., 2014) Art… 3 terms
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Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems Pap… 3 terms
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Accurately Interpreting Clickthrough Data as Implicit Feedback (Joachims et al., 2005) PDF 2 terms
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Differentially Private Recommender Systems: Building Privacy into the Netflix Prize Contenders (McSherry, Mironov) Art… 2 terms
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Multiverse Recommendation: N-dimensional Tensor Factorization for Context-aware Collaborative Filtering (Karatzoglou et al.) PDF 2 terms
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