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Maurizio Ferrari Dacrema's Projects

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HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-start Recommendation

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Low-Rank Linear Autoencoder, LLAE, AAAI 2019, From Zero-Shot Learning to Cold-Start Recommendation

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Source code and datasets for the paper "Session-based Recommendation with Graph Neural Networks" (AAAI-19)

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This repository contains the core model we called "Collaborative filtering enhanced Content-based Filtering" published in our UMUAI article "Movie Genome: Alleviating New Item Cold Start in Movie Recommendation"

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Regularizing Matrix Factorization with User and Item Embeddings for Recommendation -- CIKM 2018

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The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"

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A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

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Part of codes for A Knowledge-Enhanced Deep Recommendation Framework Incorporating GAN-based Models

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Code For Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention

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A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.

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Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".

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