Critically Examining the Claimed Value of Convolutions over User-Item
Embedding Maps for Recommender Systems

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Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems

23 July 2020

Maurizio Ferrari Dacrema

Federico Parroni

Paolo Cremonesi

Dietmar Jannach

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Papers citing "Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems"

9 / 9 papers shown

Title
Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing Maurizio Ferrari Dacrema Michael Benigni Nicola Ferro 78 0 0 10 Mar 2025
How Expressive are Graph Neural Networks in Recommendation? Xuheng Cai Lianghao Xia Xubin Ren Chao Huang 97 6 0 22 Aug 2023
Time-aware Self-Attention Meets Logic Reasoning in Recommender Systems Zhijian Luo Zihan Huang Jiahui Tang Yueen Hou Yanzeng Gao LRM 117 1 0 29 Aug 2022
A Review on Pushing the Limits of Baseline Recommendation Systems with the integration of Opinion Mining & Information Retrieval Techniques D. Piyadigama Guhanathan Poravi VLM 36 0 0 03 May 2022
CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention Ahmed Rashed Shereen Elsayed Lars Schmidt-Thieme 44 64 0 04 Apr 2022
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering F. B. P. Maurera Maurizio Ferrari Dacrema Paolo Cremonesi 96 2 0 05 Jan 2022
Reenvisioning Collaborative Filtering vs Matrix Factorization Vito Walter Anelli Alejandro Bellogín Tommaso Di Noia Claudio Pomo 45 26 0 28 Jul 2021
Neural Collaborative Filtering vs. Matrix Factorization Revisited Steffen Rendle Walid Krichene Li Zhang John R. Anderson 61 423 0 19 May 2020
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research Maurizio Ferrari Dacrema Simone Boglio Paolo Cremonesi Dietmar Jannach 82 198 0 18 Nov 2019