Výsledky vyhledávání

Unbiased Filtering of Accidental Clicks in Verizon Media Native Advertising

Autor: Oren Somekh, Yohay Kaplan, Naama Krasne, Alex Shtoff

Publikováno v: CIKM

Verizon Media (VZM) native advertising is one of VZM largest and fastest growing businesses, reaching a run-rate of several hundred million USDs in the past year. Driving the VZM native models that are used to predict event probabilities, such as cli

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d3492ae90445b84b6427d381283e1fd2
https://doi.org/10.1145/3459637.3481958

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Dynamic Creative Optimization in Verizon Media Native Advertising

Autor: Tal Cohen, Tomer Shadi, Anna Itzhaki, Milena Krasteva, Oren Somekh, Yair Koren, Avi Shahar

Publikováno v: IEEE BigData

Verizon media (VZM) native advertising serves billions of impressions daily, reaching a yearly run-rate of many hundred of million USD. Driving VZM native models for predicting advertise (ad) event probabilities, such as clicks and conversions, is OF

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f97f0e065d62dd306aa405a9e2942095
https://doi.org/10.1109/bigdata50022.2020.9378251

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Leveraging User Email Actions to Improve Ad-Close Prediction

Autor: Ali Tabaja, Yaroslav Fyodorov, Fiana Raiber, Oleg Zendel, Natalia Silberstein, Oren Somekh

Publikováno v: CIKM

Online advertising systems often provide means for users to close ads and also leave feedback. Although closing ads requires additional user engagement and usually indicates a poor user experience, ad closes are not as scarce as one might expect. Rec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c9a1e6413233a3ead29b5f005fef7ca8
https://doi.org/10.1145/3340531.3412093

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Ad Close Mitigation for Improved User Experience in Native Advertisements

Autor: Tingyi Wu, Avi Shahar, Oren Somekh, Michal Aharon, Dror Porat, Natalia Silberstein, Yair Koren

Publikováno v: WSDM

Verizon Media native advertising (also known as Yahoo Gemini native) serves billions of ad impressions daily, reaching several hundreds of millions USD in revenue yearly. Although we strive to provide the best experience for our users, there will alw

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::886e3d6a86d1dae8773c8335e08d729d
https://doi.org/10.1145/3336191.3371798

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Soft Frequency Capping for Improved Ad Click Prediction in Yahoo Gemini Native

Autor: Oren Somekh, Ayelet Blanc, Michal Aharon, Neetai Eshel, Assaf Singer, Avi Shahar, Yohay Kaplan, Alex Zlotnik, Rina Levy

Publikováno v: CIKM

Yahoo's native advertising (also known as Gemini native) serves billions of ad impressions daily, reaching a yearly run-rate of many hundred of millions USD. Driving the Gemini native models that are used to predict both click probability (pCTR) and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b731429641e86b13e109d9d9756eff70
https://doi.org/10.1145/3357384.3357801

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Feature Enhancement via User Similarities Networks for Improved Click Prediction in Yahoo Gemini Native

Autor: Eliran Abutbul, Morelle Arian, Rotem Stram, Yair Koren, Oren Somekh, Michal Aharon

Publikováno v: CIKM

Yahoo's native advertising marketplace (also known as Gemini native) serves billions of ad impressions daily, reaching many hundreds of millions USD in yearly revenue. Driving Gemini native models that are used to predict ad click probability (pCTR)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6a4af33a68c3f05386da074a2a0e6b9f
https://doi.org/10.1145/3357384.3357821

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Carousel Ads Optimization in Yahoo Gemini Native

Autor: Oren Somekh, Michal Aharon, Avi Shahar, Hadas Vogel, Assaf Singer, Dobri Dobrev, Baruch Trayvas

Publikováno v: KDD

Yahoo's native advertising (also known as Gemini native) serves billions of ad impressions daily, reaching a yearly run-rate of many hundred of millions USD. Driving Gemini native models for predicting both click probability (pCTR) and conversion pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::161bb634a1cc4b97bcdbff086ae3123a
https://doi.org/10.1145/3292500.3330740

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Expediting Exploration by Attribute-to-Feature Mapping for Cold-Start Recommendations

Autor: Deborah Cohen, Oren Somekh, Michal Aharon, Yair Koren, Raz Nissim

Publikováno v: RecSys

The item cold-start problem is inherent to collaborative filtering (CF) recommenders where items and users are represented by vectors in a latent space. It emerges since CF recommenders rely solely on historical user interactions to characterize thei

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eee59e04895e11874c0b93fa0f81d454
https://doi.org/10.1145/3109859.3109880

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Estimating Sizes of Social Networks via Biased Sampling

Autor: Oren Somekh, Ioana A. Cosma, Edo Liberty, Liran Katzir

Publikováno v: Internet Mathematics. 10:335-359

This article presents algorithms for estimating the number of users in online social networks. Although such networks sometimes publish such statistics, there are good reasons to validate their reports. The proposed schemes can also estimate the card

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2725a4bd530320671b99f786dca238f3
https://doi.org/10.1080/15427951.2013.862883

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