Filters








38 Hits in 9.4 sec

An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy

Kamelia Aryafar, Devin Guillory, Liangjie Hong
2017 Proceedings of the ADKDD'17 on ZZZ - ADKDD'17  
Click-Through Rate (CTR) prediction is an integral part of online search advertising systems where it is utilized as an input to auctions which determine the final ranking of promoted listings to a particular  ...  In this paper, we provide a holistic view of Etsy's promoted listings' CTR prediction system and propose an ensemble learning approach which is based on historical or behavioral signals for older listings  ...  CONCLUSION In this paper we presented an overview of how promoted listings' CTR prediction system works at Etsy.  ... 
doi:10.1145/3124749.3124758 dblp:conf/kdd/AryafarGH17 fatcat:sz4gjlj76bh5rg6z6s2vdlgcgq

User Response Prediction in Online Advertising [article]

Zhabiz Gharibshah, Xingquan Zhu
2021 arXiv   pre-print
What type of data are available for user response prediction? How to predict user response in a reliable and/or transparent way?  ...  Recent years have witnessed a significant increase in the number of studies using computational approaches, including machine learning methods, for user response prediction.  ...  Authors in [146] suggests an end-to-end learning method to incorporate side information from knowledge graph (KG) into an item-based collaborative filtering approach for click-through rate prediction  ... 
arXiv:2101.02342v2 fatcat:clgefamcd5fmbeg5ephizy3zqu

Popularity Bias in Recommendation: A Multi-stakeholder Perspective [article]

Himan Abdollahpouri
2020 arXiv   pre-print
Prior research has examined various approaches for mitigating popularity bias and enhancing the recommendation of long-tail items overall.  ...  I show that, often, the standard evaluation measures of popularity bias mitigation in the literature do not reflect the real picture of an algorithm's performance when it is evaluated from a multi-stakeholder  ...  Rating Prediction In rating prediction, the goal of the system is to accurately predict how a user u would rate an item i in the test set.  ... 
arXiv:2008.08551v1 fatcat:yiuamp6lcnc2bmhzkklakq6ui4

Softwarization of 5G Networks – Implications to Open Platforms and Standardizations

David Lake, Ning Wang, Rahim Tafazolli, Louis Samuel
2021 IEEE Access  
for this work.  ...  ACKNOWLEDGMENT The authors would like to acknowledge the support from the University of Surrey's 5G Innovation Centre 940 (5GIC) (http://www.surrey.ac.uk/5gic) members and EPSRC NG-CDI (EP/R004935/1) project  ...  An alternative approach offers a different set of networking options in the form of container-based virtualization.  ... 
doi:10.1109/access.2021.3071649 fatcat:2nmuasyqdfb4xc4wpeqeodqvom

LIPIcs : an Open-Access Series for International Conference Proceedings

Marc Herbstritt, Wolfgang Thomas
2016 ERCIM News  
Conclusions The results demonstrate that our machine learning approaches are very effective for predicting false alarms with an accuracy of up to 92%.  ...  Their tasks are implicit as users give no ratings: we only have information on their interac-tion with the items (e.g., clicks, listening, view).  ...  This calls for approaching security in a holistic manner.  ... 
doi:10.18154/rwth-2018-223393 fatcat:ddo7qz65l5b7peuksw2amaoxai

Explainable AI for B5G/6G: Technical Aspects, Use Cases, and Research Challenges [article]

Shen Wang, M.Atif Qureshi, Luis Miralles-Pechuaán, Thien Huynh-The, Thippa Reddy Gadekallu, Madhusanka Liyanage
2021 arXiv   pre-print
Such a 6G network will lead to an excessive number of automated decisions made every second.  ...  These decisions can range widely, from network resource allocation to collision avoidance for self-driving cars.  ...  Available: https://www.darpa.mil/program/explainable-artific capsule network for click-through rate and conversion rate prediction  ... 
arXiv:2112.04698v1 fatcat:y7ss4opmrjbsbjm3ip2vgkkgky

D7.1 Use Cases Scenarios For Deployment And Validation

Philip Eardley, Francisco Fontes, Stefano Salsano, Claudio Pisa, Lionel Natarianni, Bessem Sayadi, Erez Biton, George Tsolis, Michael J. McGrath, Incenzo Riccobene, John Thomson, Carlos Parada (+6 others)
2018 Zenodo  
This Deliverable describes the use case scenarios and the performance and functional assessment key indicators that will be used for the final validation and evaluation activities.  ...  For the Superfluidity demonstrator an ensemble approach (a mixture of statistical/clustering and machine learning approaches) is used to identify which platform metrics have the most significant influence  ...  main communication channel for the broader 5G community, proposes a list of requirements for the 5G networks that are to be achieved at an operational level.  ... 
doi:10.5281/zenodo.1232161 fatcat:4ej26kjve5fwliq4u33myrdwwu

Nonnative listeners prefer perceptual cues they know from their L1: Dutch listeners use vowel duration less than English listeners for English final /v/‐/f/

Mirjam Broersma
2008 Journal of the Acoustical Society of America  
An efficient frame selection approach to variable frame rate analysis for noise robust speech recognition.  ...  An experimental 1st order approach to predict the effective stiffness based on the shape of the mass inhomogeneities is reviewed.  ...  An approach borrowed from sequential Bayesian processing is used to compute prior densities for joint Bayesian estimation-detection.  ... 
doi:10.1121/1.2933287 fatcat:gqdetkftz5cmrghkql35figuw4

Green's-function reaction dynamics: A particle-based approach for simulating biochemical networks in time and space

Jeroen S. van Zon, Pieter Rein ten Wolde
2005 Journal of Chemical Physics  
An efficient frame selection approach to variable frame rate analysis for noise robust speech recognition.  ...  An experimental 1st order approach to predict the effective stiffness based on the shape of the mass inhomogeneities is reviewed.  ...  An approach borrowed from sequential Bayesian processing is used to compute prior densities for joint Bayesian estimation-detection.  ... 
doi:10.1063/1.2137716 pmid:16392952 fatcat:tyehqewfnzahfju3rxvivugvaa

A binaural advantage in the subjective modulation transfer function with simple impulse responses

Eric R. Thompson, Torsten Dau
2008 Journal of the Acoustical Society of America  
An efficient frame selection approach to variable frame rate analysis for noise robust speech recognition.  ...  An experimental 1st order approach to predict the effective stiffness based on the shape of the mass inhomogeneities is reviewed.  ...  The utility of the new approach is illustrated through application to data collected at sea with an air-filled aluminum spherical shell and long broadband chirp signals ͑30-105 kHz͒.  ... 
doi:10.1121/1.2933699 fatcat:4nc5pg4ysbhgrjcatwhr7fh77q

On determination of microphone response and other parameters by a hybrid experimental and numerical method

Salvador Barrera‐Figueroa, Finn Jacobsen, Knud Rasmussen
2008 Journal of the Acoustical Society of America  
An efficient frame selection approach to variable frame rate analysis for noise robust speech recognition.  ...  An experimental 1st order approach to predict the effective stiffness based on the shape of the mass inhomogeneities is reviewed.  ...  The utility of the new approach is illustrated through application to data collected at sea with an air-filled aluminum spherical shell and long broadband chirp signals ͑30-105 kHz͒.  ... 
doi:10.1121/1.2933455 fatcat:gl6kkwih6rbkriigc7g6ghdlnq

The importance of bass clarity in pop and rock venues

Niels W. Adelman‐Larsen, Eric R. Thompson
2008 Journal of the Acoustical Society of America  
An efficient frame selection approach to variable frame rate analysis for noise robust speech recognition.  ...  An experimental 1st order approach to predict the effective stiffness based on the shape of the mass inhomogeneities is reviewed.  ...  The utility of the new approach is illustrated through application to data collected at sea with an air-filled aluminum spherical shell and long broadband chirp signals ͑30-105 kHz͒.  ... 
doi:10.1121/1.2932922 fatcat:fvtlbt6x5vgelp5p67x53qtvgi

Relationship between room shape and acoustics of rectangular concert halls

Andrzej K. Klosak, Anders C. Gade
2008 Journal of the Acoustical Society of America  
An efficient frame selection approach to variable frame rate analysis for noise robust speech recognition.  ...  An experimental 1st order approach to predict the effective stiffness based on the shape of the mass inhomogeneities is reviewed.  ...  An approach borrowed from sequential Bayesian processing is used to compute prior densities for joint Bayesian estimation-detection.  ... 
doi:10.1121/1.2933354 fatcat:eymbpllxwjcfdbkedeijrtwbwq

Toxicity Analysis and Cry Gene Profiling of Bacillus Thuringiensis Isolated from Western Ghats of Tamil Nadu State, India

A. Ramalakshmi, P. Annakodi, V. Udayasurian, V. Balasubramani
2018 Proceedings of the Indian National Science Academy  
Turing -British mathematician established that there is no method to solve this problem through a formal definition of an abstract machine, now referred to as Turing Machine.  ...  There are various evidences of calculation as an ancient activity [Tedre, 2014] that dates back to Babylonian days used for varieties of navigational, astronomical and other day-to-day needs.  ...  The SDN based approach is a more stable approach to NFV implementing in the network.  ... 
doi:10.16943/ptinsa/2018/49413 fatcat:2w6rohpbava5zh6m26tsiz7qky

Acoustic source identification in an enclosed space using the inverse phased beam tracing at medium frequencies

Jeong‐Guon Ih, Cheol‐Ho Jeong
2008 Journal of the Acoustical Society of America  
. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making  ...  You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to  ...  An efficient frame selection approach to variable frame rate analysis for noise robust speech recognition.  ... 
doi:10.1121/1.2933749 fatcat:xiro7xkminfl5o3psp2ejziawq
« Previous Showing results 1 — 15 out of 38 results