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How to Perform Reproducible Experiments in the ELLIOT Recommendation Framework: Data Processing, Model Selection, and Performance Evaluation.

, , , , , , , , and . IIR, volume 2947 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)

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Explanation in Multi-Stakeholder Recommendation for Enterprise Decision Support Systems., , , , and . CAiSE Workshops, volume 423 of Lecture Notes in Business Information Processing, page 39-47. Springer, (2021)Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation., , , and . ACM Multimedia, page 9668-9671. ACM, (2023)Reenvisioning Collaborative Filtering vs Matrix Factorization., , , and . CoRR, (2021)An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework., , , , and . UMAP (Adjunct Publication), page 12-15. ACM, (2023)Four Key Factors to Design a Web of Things Architecture., , and . ICWE Workshops, volume 10544 of Lecture Notes in Computer Science, page 87-91. Springer, (2017)Adherence and Constancy in LIME-RS Explanations for Recommendation (Long paper)., , , , , and . KaRS/ComplexRec@RecSys, volume 2960 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)V-Elliot: Design, Evaluate and Tune Visual Recommender Systems., , , , , , , and . RecSys, page 768-771. ACM, (2021)Top-N Recommendation Algorithms: A Quest for the State-of-the-Art., , , , and . UMAP, page 121-131. ACM, (2022)Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation., , , , , and . WWW (Companion Volume), page 1075-1078. ACM, (2024)Adherence and Constancy in LIME-RS Explanations for Recommendation., , , , , and . CoRR, (2021)