Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Claudia Perlich"'
Autor:
Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi
The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023.The 196 papers w
Autor:
Peter Lenz, Melinda Han Williams, Yeming Shi, Roger Cost, Rod Hook, Patrick McCarthy, Reka Daniel-Weiner, Claudia Perlich, Wickus Martin, Justin Moynihan
Publikováno v:
KDD
A growing proportion of digital advertising slots is purchased through real time bidding auctions, which enables advertisers to impose highly specific criteria on which devices and opportunities to target. Employing sophisticated targeting criteria r
Publikováno v:
ADKDD@KDD
Every day, billions of online advertising slots are bought and sold through real time bidding (RTB). In RTB, publishers sometimes reject bids to deliver ads (impressions) for some brands, due to, for example, direct deals with other brands. Publisher
Autor:
Geoffrey I. Webb, Claude Sammut, Claudia Perlich, Tamás Horváth, Stefan Wrobel, Kevin B. Korb, William Stafford Noble, Christina Leslie, Michail G. Lagoudakis, Novi Quadrianto, Wray L. Buntine, Lise Getoor, Galileo Namata, Xin Jin, Jiawei Han, Jo-Anne Ting, Sethu Vijayakumar, Stefan Schaal, Luc De Raedt
Publikováno v:
Encyclopedia of Machine Learning
ispartof: Encyclopedia of Machine Learning pages:624-631 edition:1 ispartof: pages:624-631 edition:1 edition: 1 status: published
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d43ce66894840e14b183d096ba4f056
https://doi.org/10.1007/978-1-4899-7687-1_489
https://doi.org/10.1007/978-1-4899-7687-1_489
Autor:
Ron Bekkerman, Oren Etzioni, Usama M. Fayyad, Foster Provost, Geoffrey I. Webb, Claudia Perlich
Publikováno v:
Big Data. 2:117-128
In August 2013, we held a panel discussion at the KDD 2013 conference in Chicago on the subject of data science, data scientists, and start-ups. KDD is the premier conference on data science research and practice. The panel discussed the pros and con
Publikováno v:
Machine Learning. 95:103-127
This paper presents the design of a fully deployed multistage transfer learning system for targeted display advertising, highlighting the important role of problem formulation and the sampling of data from distributions different from that of the tar
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 6:1-21
Deemed “one of the top ten data mining mistakes”, leakage is the introduction of information about the data mining target that should not be legitimately available to mine from. In addition to our own industry experience with real-life projects,
Autor:
Claudia Perlich
Publikováno v:
RecSys
Machine Learning research is progressing at an ever increasing pace. Fueled by technology advances commonly referred to as "Big Data", all data related fields are teaming with scientific and applied activity: our communities explore new application a
Publikováno v:
Big data. 3(2)
Online systems promise to improve advertisement targeting via the massive and detailed data available. However, there often is too few data on exactly the outcome of interest, such as purchases, for accurate campaign evaluation and optimization (due