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» Maximizing Non-Monotone Submodular Functions
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WINE
2005
Springer
182views Economy» more  WINE 2005»
15 years 5 months ago
Inapproximability Results for Combinatorial Auctions with Submodular Utility Functions
We consider the following allocation problem arising in the setting of combinatorial auctions: a set of goods is to be allocated to a set of players so as to maximize the sum of t...
Subhash Khot, Richard J. Lipton, Evangelos Markaki...
SPAA
2010
ACM
14 years 11 months ago
Scheduling to minimize power consumption using submodular functions
We develop logarithmic approximation algorithms for extremely general formulations of multiprocessor multiinterval offline task scheduling to minimize power usage. Here each proce...
Erik D. Demaine, Morteza Zadimoghaddam
105
Voted
WSDM
2012
ACM
254views Data Mining» more  WSDM 2012»
13 years 7 months ago
Maximizing product adoption in social networks
One of the key objectives of viral marketing is to identify a small set of users in a social network, who when convinced to adopt a product will influence others in the network l...
Smriti Bhagat, Amit Goyal 0002, Laks V. S. Lakshma...
122
Voted
WINE
2010
Springer
189views Economy» more  WINE 2010»
14 years 9 months ago
Approximation Algorithms for Non-single-minded Profit-Maximization Problems with Limited Supply
We consider profit-maximization problems for combinatorial auctions with non-single minded valuation functions and limited supply. We obtain fairly general results that relate the ...
Khaled M. Elbassioni, Mahmoud Fouz, Chaitanya Swam...
115
Voted
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 2 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...