Zobrazeno 1 - 10
of 185
pro vyhledávání: '"Bagheri, Saeed"'
Autor:
Jamshidi, Saman, Mohammadi, Mahin, Bagheri, Saeed, Najafabadi, Hamid Esmaeili, Rezvanian, Alireza, Gheisari, Mehdi, Ghaderzadeh, Mustafa, Shahabi, Amir Shahab, Wu, Zongda
Publikováno v:
In Data & Knowledge Engineering May 2024 151
Publikováno v:
In Sustainable Cities and Society September 2023 96
This paper re-examines the Shapley value methods for attribution analysis in the area of online advertising. As a credit allocation solution in cooperative game theory, Shapley value method directly quantifies the contribution of online advertising i
Externí odkaz:
http://arxiv.org/abs/1804.05327
Audience interest, demography, purchase behavior and other possible classifications are ex- tremely important factors to be carefully studied in a targeting campaign. This information can help advertisers and publishers deliver advertisements to the
Externí odkaz:
http://arxiv.org/abs/1711.04498
This paper examines and proposes several attribution modeling methods that quantify how revenue should be attributed to online advertising inputs. We adopt and further develop relative importance method, which is based on regression models that have
Externí odkaz:
http://arxiv.org/abs/1710.06561
Autor:
Bagheri, Saeed (AUTHOR) saeed.bagheri@reading.ac.uk
Publikováno v:
International Review of the Red Cross. Aug2023, Vol. 105 Issue 923, p882-913. 32p.
Autor:
Pirzad, Somayeh, Ghadimi, Ali Asghar, Abolmasoumi, Amir Hossein, Jabbari, Ali, Bagheri, Saeed
Publikováno v:
In ISA Transactions September 2021 115:153-162
Publikováno v:
In Journal of Energy Storage March 2021 35
Autor:
Bagheri, Saeed, Scaglione, Anna
In the Cognitive Compressive Sensing (CCS) problem, a Cognitive Receiver (CR) seeks to optimize the reward obtained by sensing an underlying $N$ dimensional random vector, by collecting at most $K$ arbitrary projections of it. The $N$ components of t
Externí odkaz:
http://arxiv.org/abs/1401.4237