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pro vyhledávání: '"Raviv, Ariel"'
Autor:
Shtoff, Alex, Viderman, Michael, Haramaty-Krasne, Naama, Somekh, Oren, Raviv, Ariel, Ban, Tularam
Factorization machine (FM) variants are widely used in recommendation systems that operate under strict throughput and latency requirements, such as online advertising systems. FMs are known both due to their ability to model pairwise feature interac
Externí odkaz:
http://arxiv.org/abs/2408.00801
The task of predicting conversion rates (CVR) lies at the heart of online advertising systems aiming to optimize bids to meet advertiser performance requirements. Even with the recent rise of deep neural networks, these predictions are often made by
Externí odkaz:
http://arxiv.org/abs/2401.16432
The categorization of massive e-Commerce data is a crucial, well-studied task, which is prevalent in industrial settings. In this work, we aim to improve an existing product categorization model that is already in use by a major web company, serving
Externí odkaz:
http://arxiv.org/abs/2305.05402
Publikováno v:
Proceedings of the Fifth ACM Conference: Recommender Systems; Oct2011, p181-188, 8p