Open hyc9 opened 1 year ago
Hi, thank you! Here are all the information about the paper:
Pasquale Lops, Elio Musacchio, Cataldo Musto, Marco Polignano, Antonio Silletti, and Giovanni Semeraro. 2023. Reproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures. In Seventeenth ACM Conference on Recommender Systems (RecSys ’23), September 18–22, 2023, Singapore, Singapore. ACM, New York, NY, USA, 17 pages. https://doi.org/10.1145/3604915.3609492
The DOI link is not available at the moment since proceedings have not yet been published. Once everything is online, we will update the repo with all due links and references! In the meantime, if you have any question, feel free to ask!
Thanks for sharing the great code! I'm wondering if there's a way to obtain the corresponding paper ? (i.e. "Reproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures" you mentioned )