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Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood
Yueqi Wang
, Zhankui He
, Zhenrui Yue
, Julian McAuley
,
Dong Wang
School of Information Sciences
Informatics
Siebel School of Computing and Data Science
Information Trust Institute
National Center for Supercomputing Applications (NCSA)
Social & Behavioral Sciences Institute
Research output
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Chapter in Book/Report/Conference proceeding
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Conference contribution
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Keyphrases
Ablation Study
25%
Analytical Metrics
25%
Attention Matrix
25%
Attention Mechanism
25%
Autoencoding
25%
Comparative Analysis
25%
Design Decisions
25%
Design Space
75%
Hyperparameter Tuning
25%
Inductive Bias
25%
Loss Function
25%
Low-rank Approximation
25%
Model Design
25%
Modeling Techniques
25%
Modular Design
75%
Module Simulation
25%
Neighborhood Effects
50%
Pipeline Implementation
25%
Popular
25%
Recommender
100%
Self-attention Module
25%
Self-attentive
100%
Sequential Recommendation
25%
Sparse Neighbourhood
25%
State-of-the-art Models
25%
Engineering
Comparative Analysis
33%
Design Choice
33%
Design Model
33%
Design Space
100%
Directional
66%
Future Design
33%
Level Model
33%
Loss Function
33%
Metrics
33%
Computer Science
Attention (Machine Learning)
50%
Comparative Analysis
50%
Leaning Parameter
50%
Neighborhood Effect
100%
Rank Approximation
50%
Reported Result
50%