Results 71 to 80 of about 5,586 (174)
Contextual bandits to increase user prediction accuracy in movie recommendation system [PDF]
Cold-start problems are inevitable phenomena where recommendation systems fail to accurately predict users’ favour and cause the loss of new users. The typical Multi-Armed Bandit (MAB) models are widely adopted as recommendation systems to solve cold ...
Chen Yizhe
doaj +1 more source
The attack‐and‐defense conflict with the gun‐and‐butter dilemma
Abstract We analyze a general equilibrium model of attack and defense with production. One attacker and one defender allocate fixed endowments between producing butter and guns. We characterize the unique interior and unique corner equilibrium, and find that (i) the defenders may spend more resources on conflict than the attacker even without loss ...
Subhasish M. Chowdhury, Iryna Topolyan
wiley +1 more source
ABSTRACT Customer incivility (CI) increasingly shapes service work, from frontline hospitality staff to digital agents in retail and banking. This study applies the PRISMA protocol to review 112 empirical articles published between 2009 and 2025. Using the Theory, Context, Characteristics and Methods (TCCM) framework, we synthesise key findings and ...
Maqsood H. Bhutto +3 more
wiley +1 more source
Two-stage index computation for bandits with switching penalties I : switching costs [PDF]
This paper addresses the multi-armed bandit problem with switching costs. Asawa and Teneketzis (1996) introduced an index that partly characterizes optimal policies, attaching to each bandit state a "continuation index" (its Gittins index) and a ...
Jose Nino-Mora
core
In this experiment, we plan to test how the selective sharing of gamble information affects group performance in a cooperative, multi-player multi-armed bandit.
Wataru Toyokawa +2 more
core +1 more source
Multi armed bandit based resource allocation in Near Memory Processing architectures
Recent advances in 3D fabrication have allowed handling the memory bottlenecks for modern data-intensive applications by bringing the computation closer to the memory, enabling Near Memory Processing (NMP).
Shubhang Pandey, T.G. Venkatesh
doaj +1 more source
Multi-Armed Bandit Based Traffic Signal Control for Congestion Management [PDF]
Against the background of rapid urbanization and continuous growth of vehicle numbers, traffic congestion has become increasingly prominent, causing serious negative impacts on urban life and economic development.
Bai Ke
doaj +1 more source
Learning the distribution with largest mean: two bandit frameworks*
Over the past few years, the multi-armed bandit model has become increasingly popular in the machine learning community, partly because of applications including online content optimization. This paper reviews two different sequential learning tasks that
Kaufmann Emilie, Garivier Aurélien
doaj +1 more source
Combining Cmab with Matrix Factorization and Clustering For Enhanced Movie Recommendations [PDF]
The contextual multi-armed bandit (CMAB) algorithm faces problems of a large-scale, sparse data matrix and many arms. This paper proposes a method that combines matrix factorization with a clustering algorithm to enhance the performance of the CMAB ...
Xiong Shuyue
doaj +1 more source
THE MULTI-ARMED BANDIT PROBLEM WITH COVARIATES
We consider a multi-armed bandit problem in a setting where each arm produces a noisy reward realization which depends on an observable random covariate.
Philippe Rigollet +3 more
core +1 more source

