Optimization of click-through rate prediction in the Yandex search engine

Bauman, Konstantin; Kornetova, A. N.; Topinskii, V. A.; Khakimova, D. A.

doi:10.3103/s0005105513020040

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…Yandex Engine supports 95 languages, including Indonesian and English, both in words or voice engines. [12][13] [14] Moreover, this Yandex Engine is also supported by programming tools by MIT App Inventor. In this study, the Live Translator application was created using MIT App Inventor, a block/puzzle-based programming tool structured to become an Android-based mobile application.…”

Section: ][5][6][7][8][9]mentioning

confidence: 99%

The Implementation of Yandex Engine on Live Translator Application for Bahasa and English Using Block Programming MIT App Inventor Mobile Based

Lengkong

Mandias

Tombeng

2022

CogITo Smart Journal

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One of the international languages used today is English. One of the essential things that become the principal capital is the mastery of foreign languages to compete and advance. In communicating, one of the supporting tools used today is a smartphone. They saw the needs and opportunities in terms of communication. The author does research, namely: the use of the Yandex engine, which will be implemented in an Indonesian and English translator application, which is expected to help users to get international language translation results, in terms of vocabulary or vocabulary, as well as pronunciation or how to pronounce/pronunciation words. The research method used is SDLC (Software Development Life Cycle). This method has analysis phases, system design phases, testing phases, and publication phases. This application is built for Android Operating System. The Yandex Engine is used as a translation engine in this research. MIT App Inventor is a tool used to build android-based applications; this tool is a visual programming scratch framework from MIT and implementation of Open Block distributed by the MIT Scheller Teacher Education Program. The result of this research is a mobile-based Indonesian and English Direct Translator engine. MIT App Inventor can work well using the Yandex search engine, which can produce a Live Translator whose features all work correctly and can be said to have the same results as other software development kits.Keywords—Yandex Engine, MIT App Inventor, Visual Programming, Open Block

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Section: ][5][6][7][8][9]mentioning

confidence: 99%

The Implementation of Yandex Engine on Live Translator Application for Bahasa and English Using Block Programming MIT App Inventor Mobile Based

Lengkong

Mandias

Tombeng

2022

CogITo Smart Journal

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“…An auction mechanism determines which ads are selected for an impression, and the price an advertiser will pay if their ad is clicked [9,10]. A critical component of the auction is an estimate of the probability that an ad will be clicked on a given impression; also known as clickthrough rate (CTR) prediction [16,1,11,6,4,15]. While there is a large literature on methods to predict CTR of ads, the concern of this paper is with optimizing the layout (also referred to as format) of an ad in addition to the choice of a high performing ad for an impression.…”

Section: Introductionmentioning

confidence: 99%

Automatic ad format selection via contextual bandits

Tang

Rosales

Singh

et al. 2013

Proceedings of the 22nd ACM International Conference on Conference on Information &Amp; Knowledge Management - CIKM '13

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Visual design plays an important role in online display advertising: changing the layout of an online ad can increase or decrease its effectiveness, measured in terms of click-through rate (CTR) or total revenue. The decision of which layout to use for an ad involves a trade-off: using a layout provides feedback about its effectiveness (exploration), but collecting that feedback requires sacrificing the immediate reward of using a layout we already know is effective (exploitation). To balance exploration with exploitation, we pose automatic layout selection as a contextual bandit problem. There are many bandit algorithms, each generating a policy which must be evaluated. It is impractical to test each policy on live traffic. However, we have found that offline replay (a.k.a. exploration scavenging) can be adapted to provide an accurate estimator for the performance of ad layout policies at Linkedin, using only historical data about the effectiveness of layouts. We describe the development of our offline replayer, and benchmark a number of common bandit algorithms.

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One weird trick for advertising outcomes : an exploration of the multi-armed bandit for performance-driven marketing

Burtini¹

2015

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Optimization of click-through rate prediction in the Yandex search engine

Cited by 3 publications

References 2 publications

The Implementation of Yandex Engine on Live Translator Application for Bahasa and English Using Block Programming MIT App Inventor Mobile Based

The Implementation of Yandex Engine on Live Translator Application for Bahasa and English Using Block Programming MIT App Inventor Mobile Based

Automatic ad format selection via contextual bandits

One weird trick for advertising outcomes : an exploration of the multi-armed bandit for performance-driven marketing

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