Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Zarindast, Atousa"'
Recommender systems attempts to identify and recommend the most preferable item (product-service) to an individual user. These systems predict user interest in items based on related items, users, and the interactions between items and users. We aim
Externí odkaz:
http://arxiv.org/abs/2104.02164
Autor:
Zarindast, Atousa, Sharma, Anuj
With the era of big data, an explosive amount of information is now available. This enormous increase of Big Data in both academia and industry requires large-scale data processing systems. A large body of research is behind optimizing Spark's perfor
Externí odkaz:
http://arxiv.org/abs/2101.06524
Publikováno v:
In International Journal of Information Management Data Insights November 2021 1(2)
Publikováno v:
In Fuzzy Sets and Systems 15 October 2021 422:106-129
Akademický článek
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Publikováno v:
Data Science for Transportation; August 2024, Vol. 6 Issue: 2
Autor:
Rajabalizadeh, Atefeh, Safaei, Nima, Nia, Javad Norouzi, Talafidaryani, Mojtaba, Bijari, Reyhaneh, Zarindast, Atousa, Fotouhi, Fateme, Salehi, Masoud, Moqri, Mahdi
Publikováno v:
Proceedings of the International Conference on Information Systems (ICIS); 2020, p1-9, 9p
Publikováno v:
Journal of Industrial Engineering International; Jun2017, Vol. 13 Issue 2, p161-169, 9p
Publikováno v:
International Journal of Industrial and Systems Engineering; 2018, Vol. 30 Issue: 3 p346-364, 19p
Autor:
Zarindast, Atousa, Sharma, Anuj
Publikováno v:
Data Science for Transportation; April 2023, Vol. 5 Issue: 1