21 citations · 168 across the 36 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.LG2020★ 7 cited
Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation
Xu He, Bo An, Yanghua Li +4
Online recommendation services recommend multiple commodities to users. Nowadays, a considerable proportion of users visit e-commerce platforms by mobile devices. Due to the limite…
cs.CC2020★ 3 cited
Efficient Document Exchange and Error Correcting Codes with Asymmetric Information
Kuan Cheng, Xin Li
We study two fundamental problems in communication, Document Exchange (DE) and Error Correcting Code (ECC). In the first problem, two parties hold two strings, and one party tries…
cs.LG2020★ 1 cited
Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests
Xiao Xu, Fang Dong, Yanghua Li +2
A contextual bandit problem is studied in a highly non-stationary environment, which is ubiquitous in various recommender systems due to the time-varying interests of users. Two mo…