The rise of internet-based services and products in the late 1990s brought about an unprecedented opportunity for online businesses to engage in large scale data-driven …
Recommender systems are the cornerstone of today's information dissemination, yet a disconnect between offline metrics and online performance greatly hinders their …
An innovative and accessible guide to doing social research in the digital age. In just the past several years, we have witnessed the birth and rapid spread of social media, mobile …
Getting numbers is easy; getting numbers you can trust is hard. This practical guide by experimentation leaders at Google, LinkedIn, and Microsoft will teach you how to accelerate …
The paper examines the opportunities in and possibilities arising from big data in retailing, particularly along five major data dimensions—data pertaining to customers, products …
R Kohavi, R Longbotham - … of machine learning and data mining, 2015 - exp-platform.com
Many good resources are available with motivation and explanations about online controlled experiments (Kohavi et al. 2009a, 2020; Thomke 2020; Luca and Bazerman …
D Jannach, M Jugovac - ACM Transactions on Management Information …, 2019 - dl.acm.org
Recommender Systems are nowadays successfully used by all major web sites—from e- commerce to social media—to filter content and make suggestions in a personalized way …
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the" …
Measuring the User Experience was the first book that focused on how to quantify the user experience. Now in the second edition, the authors include new material on how recent …