Embarrassingly Shallow Autoencoders for Sparse Data

8 May 2019Harald Steck

Combining simple elements from the literature, we define a linear model that is geared toward sparse data, in particular implicit feedback data for recommender systems. We show that its training objective has a closed-form solution, and discuss the resulting conceptual insights... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Recommendation Systems Million Song Dataset EASE [email protected] 0.333 # 1
[email protected] 0.428 # 1
[email protected] 0.389 # 1
Recommendation Systems MovieLens 20M EASE [email protected] 0.391 # 5
[email protected] 0.521 # 6
[email protected] 0.420 # 5
Recommendation Systems Netflix EASE [email protected] 0.362 # 2
[email protected] 0.445 # 4
[email protected] 0.393 # 3

Methods used in the Paper


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