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Multi-Objective Blended Ensemble For Highly Imbalanced Sequence Aware Tweet Engagement Prediction.

, , , , , , и . RecSys Challenge, стр. 29-33. ACM, (2020)

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Cesare Filippo

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Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment., , , , , , , , , и 1 other автор(ы). RecSys Challenge, стр. 28-33. ACM, (2021)Eigenvalue Perturbation for Item-based Recommender Systems., и . RecSys, стр. 656-660. ACM, (2021)From Data Analysis to Intent-Based Recommendation: An Industrial Case Study in the Video Domain., , , , , и . IEEE Access, (2022)A novel graph-based model for hybrid recommendations in cold-start scenarios., , и . CoRR, (2018)On the impact of data sampling on hyper-parameter optimisation of recommendation algorithms., , и . SAC, стр. 1399-1402. ACM, (2022)On the instability of embeddings for recommender systems: the case of matrix factorization., , , и . SAC, стр. 1363-1370. ACM, (2021)Leveraging laziness, browsing-pattern aware stacked models for sequential accommodation learning to rank., , , , , , , , , и . RecSys Challenge, стр. 7:1-7:5. ACM, (2019)Analyzing and improving stability of matrix factorization for recommender systems., , , и . J. Intell. Inf. Syst., 58 (2): 255-285 (2022)Multi-stage Ensemble Model for Cross-market Recommendation.. CoRR, (2022)Multi-Objective Blended Ensemble For Highly Imbalanced Sequence Aware Tweet Engagement Prediction., , , , , , и . RecSys Challenge, стр. 29-33. ACM, (2020)