Results 11 to 20 of about 13,923,371 (387)
Conversion rate optimization through evolutionary computation [PDF]
Proceedings of the Genetic and Evolutionary Computation Conference, 2017 Conversion optimization means designing a web interface so that as many users as possible take a desired action on it, such as register or purchase. Such design is usually done by hand, testing one change at a time through A/B testing, or a limited number of combinations through multivariate testing, making it possible to evaluate only a small fraction
Jonathan Epstein +9 more
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A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction [PDF]
Knowledge Discovery and Data Mining, 2022 Post-click conversion rate (CVR) prediction is an essential task for discovering user interests and increasing platform revenues in a range of industrial applications. One of the most challenging problems of this task is the existence of severe selection
Quanyu Dai +7 more
semanticscholar +1 more source
UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation [PDF]
The Web Conference, 2022 In online advertising, conventional post-click conversion rate (CVR) estimation models are trained using clicked samples. However, during online serving the models need to estimate for all impression ads, leading to the sample selection bias (SSB) issue.
Zixuan Xu +5 more
semanticscholar +1 more source
Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021 Post-click conversion, as a strong signal indicating the user preference, is salutary for building recommender systems. However, accurately estimating the post-click conversion rate (CVR) is challenging due to the selection bias, i.e., the observed ...
Siyuan Guo +8 more
semanticscholar +1 more source
Giant FFTs for Sample-Rate Conversion [PDF]
Journal of the Audio Engineering Society, 2023 The audio industry uses several sample rates interchangeably, and high-quality sample rate conversion is crucial. This paper describes a frequency-domain sample rate conversion method that employs a single large (``giant'') fast Fourier transform (FFT).
Bilbao, Stefan +3 more
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Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021 Conversion Rate (CVR) prediction in modern industrial e-commerce platforms is becoming increasingly important, which directly contributes to the final revenue.
Hong Wen +5 more
semanticscholar +1 more source
Complex Determination of the Gametocyte Conversion Rate [PDF]
Trends in Parasitology, 2018 Cristian Koepfli, Guiyun Yan
openaire +4 more sources
Analytical solutions for non-linear conversion of a porous solid particle in a gas–I. Isothermal conversion [PDF]
, 1990 Analytical description are presented for non-linear heterogeneous conversion of a porous solid particle reacting with a surrounding gas. Account has been taken of a reaction rate of general order with respect to gas concentration, intrinsic reaction ...
Brem, G., Brouwers, J.J.H.
core +13 more sources
Publications, 2022 Background: The publication rates of abstracts after they were presented at the National Conference for Clinical Research (NCCR), a scientific conference held in Malaysia, was determined to gauge the scientific value of the conference, whilst providing ...
Nicholas Yee Liang Hing +5 more
doaj +1 more source
Social Media Networks as a Business Environment, During COVID-19 Crisis [PDF]
Revista de Management Comparat International, 2021 Companies are now integrating social media marketing into their strategies and policies, for a better business performance. Social media campaigns are cost-effective and flexible in operations, offering many benefits.
Mihai C. ORZAN +4 more
doaj +1 more source