Výsledky vyhledávání - "Arash Oshnoudi"

Improving Recommender Systems Performances Using User Dimension Expansion by Movies’ Genres and Voting-Based Ensemble Machine Learning Technique

Autor: Arash Oshnoudi, Behzad Soleimani Neysiani, Zahra Aminoroaya, Naser Nematbakhsh

Publikováno v: 2021 7th International Conference on Web Research (ICWR).

The recommender system's performance needs to be improved more than ever by increasing computer systems' usage in various applications. Recommender systems are a valuable tool in e-commerce websites. Their primary purpose is to generate accurate fore

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c2c3c26014432f4539323c826e8949c9
https://doi.org/10.1109/icwr51868.2021.9443146

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