I. Cherniavskii

most citedDeep Learning Recommendation Model for Personalization and Recommendation Systems

394 citations · 394 across the 1 of their papers we have counts for

collaborators

2 papers

cs.IR2019★ 394 cited

Deep Learning Recommendation Model for Personalization and Recommendation Systems

Maxim Naumov, Dheevatsa Mudigere, Hao-Jun Michael Shi +21

With the advent of deep learning, neural network-based recommendation models have emerged as an important tool for tackling personalization and recommendation tasks. These networks…

cond-mat.supr-con2017

Selective mass enhancement close to the quantum critical point in BaFe $_{2}$ (As $_{1 - x}$ P $_{x}$ ) $_{2}$

V. Grinenko, K. Iida, F. Kurth +16

A quantum critical point (QCP) is currently being conjectured for the BaFe $_{2}$ (As $_{1 - x}$ P $_{x}$ ) $_{2}$ system at the critical value $x_{c} \approx$ 0.3. In the proximity of a QCP,…

Deep Learning Recommendation Model for Personalization and Recommendation Systems

Selective mass enhancement close to the quantum critical point in BaFe2​(As1−x​Px​)2​

Selective mass enhancement close to the quantum critical point in BaFe $_{2}$ (As $_{1 - x}$ P $_{x}$ ) $_{2}$