2 research outputs found
Online Evaluation for Effective Web Service Development
Development of the majority of the leading web services and software products
today is generally guided by data-driven decisions based on evaluation that
ensures a steady stream of updates, both in terms of quality and quantity.
Large internet companies use online evaluation on a day-to-day basis and at a
large scale. The number of smaller companies using A/B testing in their
development cycle is also growing. Web development across the board strongly
depends on quality of experimentation platforms. In this tutorial, we overview
state-of-the-art methods underlying everyday evaluation pipelines at some of
the leading Internet companies. Software engineers, designers, analysts,
service or product managers --- beginners, advanced specialists, and
researchers --- can learn how to make web service development data-driven and
do it effectively
Finite-State Extreme Effect Variable
We generalize to the finite-state case the notion of the extreme effect
variable that accumulates all the effect of a variant variable observed
in changes of another variable . We conduct theoretical analysis and turn
the problem of finding of an effect variable into a problem of a simultaneous
decomposition of a set of distributions. The states of the extreme effect
variable, on the one hand, are minimally affected by the variant variable
and, on the other hand, are extremely different with respect to the observable
variable . We apply our technique to online evaluation of a web search
engine through A/B testing and show its utility.Comment: 15 pages; 2 figures; 1 tabl