Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Nachiketa Sahoo"'
Publikováno v:
INFORMS Journal on Computing. 34:1661-1680
We propose an approach for uncovering characteristic response paths of a population from an individual-level multivariate time series data set. The approach is based on a model that accommodates a set of arbitrary distributions for endogenous variabl
Publikováno v:
Management Science. 68:355-375
We propose an approach to match returning donors to fundraising campaigns on philanthropic crowdfunding platforms. It is based on a structural econometric model of utility-maximizing donors who can derive both altruistic (from the welfare of others)
Publikováno v:
ACM Transactions on Management Information Systems. 13:1-3
Autor:
Gerdus Benade, Nachiketa Sahoo
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Management Science. 65:3737-3757
Sometimes we desire change, a break from the same, or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender syst
Publikováno v:
SSRN Electronic Journal.
Declining circulation and advertising revenue have led many newspapers to cut costs by shrinking their in-house staff and sourcing more content from external wire agencies. In this study, we analyze how the mix of in-house and wired content impacts o
Publikováno v:
Information Systems Research. 29:723-738
Although many researchers in information systems and marketing have studied the effect of product reviews on sales, few have looked at their effect on product returns. We hypothesize that, by reducing product uncertainty, product reviews affect the p
Autor:
Nachiketa Sahoo
This dissertation proposal consists of three essays on data mining in the context of enterprise information system. The first essay develops a clustering algorithm to discover topic hierarchies in text document streams. The key property of this metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ad9ffc73e7704a0de6df17b6515bc33
Publikováno v:
SSRN Electronic Journal.
Personalized medicine aided by new genomic and molecular diagnostic technologies can improve the quality of care. However, these new technologies are often expensive and the value they offer to any individual patient are uncertain. We propose a data-