Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment. Carminati, L., Lodigiani, G., Maldini, P., Meta, S., Metaj, S., Pisa, A., Sanvito, A., Surricchio, M., Maurera, F. B. P., Bernardis, C., & Dacrema, M. F. In RecSys Challenge, pages 28-33, 2021. ACM.
Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment. [link]Link  Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment. [link]Paper  bibtex   
@inproceedings{conf/recsys/CarminatiLMMMPS21,
  added-at = {2022-10-02T00:00:00.000+0200},
  author = {Carminati, Luca and Lodigiani, Giacomo and Maldini, Pietro and Meta, Samuele and Metaj, Stiven and Pisa, Arcangelo and Sanvito, Alessandro and Surricchio, Mattia and Maurera, Fernando Benjamín Pérez and Bernardis, Cesare and Dacrema, Maurizio Ferrari},
  biburl = {https://www.bibsonomy.org/bibtex/2e10f9fc92836065f21c7672424dab2be/dblp},
  booktitle = {RecSys Challenge},
  crossref = {conf/recsys/2021challenge},
  ee = {https://doi.org/10.1145/3487572.3487597},
  interhash = {0181842dd37cedb304d1edb0cfbf942a},
  intrahash = {e10f9fc92836065f21c7672424dab2be},
  isbn = {978-1-4503-8693-7},
  keywords = {dblp},
  pages = {28-33},
  publisher = {ACM},
  timestamp = {2024-04-09T20:12:32.000+0200},
  title = {Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment.},
  url = {http://dblp.uni-trier.de/db/conf/recsys/challenge2021.html#CarminatiLMMMPS21},
  year = 2021
}

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