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Online (Budgeted) Social Choice

Joel Oren, Brendan Lucier
2014 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
We consider a classic social choice problem in an online setting.  ...  Acknowledgements We thank Ariel Procaccia for his helpful comments and for pointing out the connection between this work and the results on low-distortion choice rules in (Boutilier et al. 2012) .  ...  The online budgeted social choice problem. We consider the problem of choosing a set of k ≥ 1 candidates from the set of potential alternatives.  ... 
doi:10.1609/aaai.v28i1.8891 fatcat:g6rwikwjfjdidnu7crkppzdvwq

Budgeted Online Influence Maximization

Pierre Perrault, Jennifer Healey, Zheng Wen, Michal Valko
2020 International Conference on Machine Learning  
Our approach models better the realworld setting where the cost of influencers varies and advertizers want to find the best value for their overall social advertising budget.  ...  We introduce a new budgeted framework for online influence maximization, considering the total cost of an advertising campaign instead of the common cardinality constraint on a chosen influencer set.  ...  Introduction Viral marketing through online social networks now represents a significant part of many digital advertising budgets.  ... 
dblp:conf/icml/PerraultHWV20 fatcat:m3pddf4ejfd2zfwmgzcfis2ffy

Budgeted Online Collective Inference

Jay Pujara, Ben London, Lise Getoor
2015 Conference on Uncertainty in Artificial Intelligence  
In this paper, we introduce budgeted online collective inference, in which the MAP configuration of a graphical model is updated efficiently by revising the assignments to a subset of the variables while  ...  These theoretical insights, combined with a thorough analysis of the optimization solver, motivate new approximate methods for efficiently updating the variable assignments under a budget constraint.  ...  BUDGETED ONLINE INFERENCE The bounds presented in Section 3.1 suggest that online collective inference under budget constraints is close to the full inference update when one is able to successfully choose  ... 
dblp:conf/uai/PujaraLG15 fatcat:le5ecijevfcvvo7b2g7g6oc3la

Smart Advertisement for Maximal Clicks in Online Social Networks Without User Data [article]

Nathaniel Hudson, Hana Khamfroush, Brent Harrison, Adam Craig
2020 arXiv   pre-print
Click-through rate (CTR) prediction of advertisements on online social network platforms to optimize advertising is of much interest.  ...  Given a certain budget k, we are interested in finding the optimal combination of conceptual nodes that maximize the CTR.  ...  We are additionally motivated to gain high-level insights to better understand what interests lead to higher CTR across advertisements and, more generally, across information shared on online social media  ... 
arXiv:1911.02061v3 fatcat:uhnt7d5ixraivf2f4ippzxisd4

The Effects of Shelf Display on Online Grocery Choices

Els Breugelmans, Katia Campo, Els Gijsbrechts
2006 Social Science Research Network  
In this paper, we examine whether and how such shelf effects translate into an online grocery context.  ...  These primacy and proximity effects have a stronger impact on choice decisions when assortments are more difficult to evaluate and when a clear shelf organization facilitates the use of shelf-based choice  ...  We examine whether traditional shelf effects prevail for online choices and -if so -how they translate to a virtual store context.  ... 
doi:10.2139/ssrn.944397 fatcat:b2bls7nwsnbndnwsr7rhtqt4ae

How Travelers Use Online and Social Media Channels to Make Hotel Choice Decisions. A Comparative Study of Russian Federation and American Touristss Online Consumer Behavior

Sergey Kazakov, Marina Predvoditeleva
2015 Social Science Research Network  
The current study aims to fill this gap and demonstrates how Russian travelers use social media to make hotel choice decisions and share their experiences on social media after their travel is completed  ...  In order to deliver a more thorough revealing of Russian travel consumers' peculiarities and to discover if there is Russian uniqueness, the online behavior of American and Russian travelers is compared  ...  Hotel choice factor mean values taken into consideration by Russian and American tourists when shopping for a hotel online.  ... 
doi:10.2139/ssrn.2698138 fatcat:rdnia7nzn5bybjv4mo7vcz64rq

Funding Online Services from the Materials Budget

Jay Martin Poole, Gloriana St. Clair
1986 College and Research Libraries  
The information provided by an online search satisfies legitimate educational and research needs and should be funded with monies from the print materials budget.  ...  During this transitional time of decreasing library budgets and an increasing requirement for online services, it behooves librarians to consider all the possible sources for funding these new and demanded  ...  Funding of online searching from the · materials budget should be offered as an ·, interim measure.  ... 
doi:10.5860/crl_47_03_225 fatcat:epb7wfishja23jhoc6wfdmvdje

Determinants of voluntary online local budget transparency

Katarina Ott, Velibor Mačkić, Mihaela Bronić, Branko Stanić
2019 Ekonomski Pregled  
This article analyses the determinants of the voluntary online local budget transparency (OLBT) of Croatian local governments.  ...  The findings show that local governments with higher residents' per capita income, population, Internet access, and administrative and fi scal capacity voluntarily publish more budget documents online.  ...  The Ministry of Finance (2012) recommended publishing budget proposals online and printing and/or posting the citizens' budgets online. However, no sanctions are imposed.  ... 
doi:10.32910/ep.70.2.1 fatcat:jegcqy6cn5a3jacwbb4snwokli

Offline and Online Models of Budget Allocation for Maximizing Influence Spread [article]

Noa Avigdor-Elgrabli, Gideon Blocq, Iftah Gamzu, Ariel Orda
2018 arXiv   pre-print
For the online setting, in which an unknown subset of agents arrive in a random order and the algorithm needs to make an irrevocable budget allocation in each step, we develop a 1/(15e)-competitive algorithm  ...  The research of influence propagation in social networks via word-of-mouth processes has been given considerable attention in recent years.  ...  An Online Model We study the online version of the budgeted influence propagation model.  ... 
arXiv:1508.01059v3 fatcat:h4eb76sofbcfzj3t6gm6wip7aa

Reality-Aware Social Choice [article]

Ehud Shapiro, Nimrod Talmon
2019 arXiv   pre-print
We then discuss several applications of Reality-Aware Social Choice.  ...  Here, we propose to restore this default social state and to incorporate Reality explicitly into Social Choice.  ...  Reality-Aware Social Choice Functions (RASCFs) In the standard model of social choice, the pivotal definition of a social choice function (SCF) is as follows.  ... 
arXiv:1710.10117v8 fatcat:c6wq66ztpfc6pibeuljtxuemmm

Online Learning with Cumulative Oversampling: Application to Budgeted Influence Maximization [article]

Shatian Wang, Shuoguang Yang, Zhen Xu, Van-Anh Truong
2020 arXiv   pre-print
Combining CO with the oracle we design for the offline problem, our online learning algorithm simultaneously tackles budget allocation, parameter learning, and reward maximization.  ...  We propose a cumulative oversampling (CO) method for online learning.  ...  Budgeted IM Semi-Bandits We mathematically formulate our new budgeted IM semibandits problem in this section. We model the topology of a social network using a directed graph D = (V, E).  ... 
arXiv:2004.11963v3 fatcat:jw5lcpspcbbolcqrgt6tbgbnfa

Reactions to "Funding Online Services from the Materials Budget"

Sheila Dowd, John H. Whaley, Marcia Pankake
1986 College and Research Libraries  
That is a choice we cannot and should not make.  ...  Those who develop reference collections will have to make hard choices between providing reference-type information in traditional or electronic formats. But at least a choice is possible.  ... 
doi:10.5860/crl_47_03_230 fatcat:ex2r6it2k5fxromxlt3vetaboy

Budget-Feasible Mechanism Design for Non-Monotone Submodular Objectives: Offline and Online [article]

Georgios Amanatidis, Pieter Kleer, Guido Schäfer
2019 arXiv   pre-print
model, for both offline and online auctions.  ...  This allows us to appropriately adapt these ideas to the online setting as well.  ...  derive the first universally truthful, budget-feasible O(1)-approximation online mechanism for non-monotone submodular objectives.  ... 
arXiv:1905.00848v2 fatcat:uixdxcmmj5cfhmzom36e6lggt4

People accounting: Social category-based choice

Stephen M. Garcia, Oscar Ybarra
2007 Journal of Experimental Social Psychology  
This paper presents people accounting-a hypothesis that describes how a simple numerical imbalance in representation along nominal social category lines can aVect people's choice of candidates in highly  ...  The implication is that highly competitive decisions are often inXuenced by headcounts along mundane social category lines.  ...  Articulating the role of "categorization" in budgeting, Thaler (1999) provides a taxonomy of budgetary categories: "expenditures are grouped into budgets (e.g., food, housing, etc.); wealth is allocated  ... 
doi:10.1016/j.jesp.2006.08.002 fatcat:nljaqtmwrbdvlpukued3ien46m

Multi-Touch Attribution Based Budget Allocation in Online Advertising [article]

Sahin Cem Geyik, Abhishek Saxena, Ali Dasdan
2015 arXiv   pre-print
Budget allocation in online advertising deals with distributing the campaign (insertion order) level budgets to different sub-campaigns which employ different targeting criteria and may perform differently  ...  We conclude the paper with our empirical comparison of last-touch and multi-touch attribution-based budget allocation in a real online advertising setting.  ...  To the best of our knowledge, this is the first paper to show how ROI is impacted by the choice of attribution method, and demonstrate the effect of MTA on a real-world online advertising campaign.  ... 
arXiv:1502.06657v1 fatcat:n2psw5cf5rfr7l4rtl6mp6wx5i
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