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06/07/2023
Answering Compositional Queries with Set-Theoretic Embeddings
The need to compactly and robustly represent item-attribute relations ar...
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12/03/2021
ALX: Large Scale Matrix Factorization on TPUs
We present ALX, an open-source library for distributed matrix factorizat...
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10/26/2021
iALS++: Speeding up Matrix Factorization with Subspace Optimization
iALS is a popular algorithm for learning matrix factorization models fro...
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10/26/2021
Revisiting the Performance of iALS on Item Recommendation Benchmarks
Matrix factorization learned by implicit alternating least squares (iALS...
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01/21/2021
Item Recommendation from Implicit Feedback
The task of item recommendation is to select the best items for a user f...
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05/19/2020
Neural Collaborative Filtering vs. Matrix Factorization Revisited
Embedding based models have been the state of the art in collaborative f...
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02/11/2020
Superbloom: Bloom filter meets Transformer
We extend the idea of word pieces in natural language models to machine ...
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12/04/2019
Evaluation Metrics for Item Recommendation under Sampling
The task of item recommendation requires ranking a large catalogue of it...
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05/04/2019
On the Difficulty of Evaluating Baselines: A Study on Recommender Systems
Numerical evaluations with comparisons to baselines play a central role ...
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07/18/2018
Efficient Training on Very Large Corpora via Gramian Estimation
We study the problem of learning similarity functions over very large co...
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02/09/2017
Graph Based Relational Features for Collective Classification
Statistical Relational Learning (SRL) methods have shown that classifica...
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05/09/2012