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KGTORe: Tailored Recommendations through Knowledge-aware GNN Models

, , , , , и . Proceedings of the 17th ACM Conference on Recommender Systems, ACM, (сентября 2023)
DOI: 10.1145/3604915.3608804

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Daniele Pillitteri

Daniele Suzzi

Daniele Gaggero

Daniele Capriotti

Daniele Martini

 

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V-Elliot: Design, Evaluate and Tune Visual Recommender Systems., , , , , , , и . RecSys, стр. 768-771. ACM, (2021)Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation., , , , , и . WWW (Companion Volume), стр. 1075-1078. ACM, (2024)Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews., , , , , , и . DL4SR@CIKM, том 3317 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)How to Perform Reproducible Experiments in the ELLIOT Recommendation Framework: Data Processing, Model Selection, and Performance Evaluation., , , , , , , , и . IIR, том 2947 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering., , , , , и . ECIR (1), том 13980 из Lecture Notes in Computer Science, стр. 33-48. Springer, (2023)Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach., , , , и . CoRR, (2024)Uplift Modeling Under Limited Supervision., , , и . ECML/PKDD (6), том 14946 из Lecture Notes in Computer Science, стр. 127-144. Springer, (2024)Adversarial Attacks against Visual Recommendation: an Investigation on the Influence of Items' Popularity., , , , и . OHARS@RecSys, том 3012 из CEUR Workshop Proceedings, стр. 33-44. CEUR-WS.org, (2021)Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation., , , , , и . CoRR, (2024)Assessing Perceptual and Recommendation Mutation of Adversarially-Poisoned Visual Recommenders (short paper)., , , и . DP@AI*IA, том 2776 из CEUR Workshop Proceedings, стр. 49-56. CEUR-WS.org, (2020)