Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Eren Manavoglu"'
In this paper, we focus on unsupervised representation learning for clustering of images. Recent advances in deep clustering and unsupervised representation learning are based on the idea that different views of an input image (generated through data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffd5f967df396ea18aab0ec849a08b90
Publikováno v:
IJCNN
Recent advances in deep clustering and unsupervised representation learning are based on the idea that different views of an input image (generated through data augmentation techniques) must either be closer in the representation space, or have a sim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a97a5551e524e49e23bccc0dcfa5cb94
Publikováno v:
SIGIR
Ad click prediction is a task to estimate the click-through rate (CTR) in sponsored ads, the accuracy of which impacts user search experience and businesses' revenue. State-of-the-art sponsored search systems typically model it as a classification pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c983503ab9e5aac00bebafb977ee51a6
https://doi.org/10.1145/3209978.3210071
https://doi.org/10.1145/3209978.3210071
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 5:1-34
Clickthrough and conversation rates estimation are two core predictions tasks in display advertising. We present in this article a machine learning framework based on logistic regression that is specifically designed to tackle the specifics of displa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8ff09e76cce9e05fe8ec57d9556699d
https://doi.org/10.1145/2532128
https://doi.org/10.1145/2532128
Autor:
Erick Cantú-Paz, Rukmini Iyer, Hema Raghavan, Chris Leggetter, Dustin Hillard, Eren Manavoglu
Publikováno v:
Information Retrieval. 14:315-336
The critical task of predicting clicks on search advertisements is typically addressed by learning from historical click data. When enough history is observed for a given query-ad pair, future clicks can be accurately modeled. However, based on the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d053e9dd3c3b06008eb8c67a06a84b7
https://doi.org/10.1007/s10791-010-9152-6
https://doi.org/10.1007/s10791-010-9152-6
Publikováno v:
IEEE Intelligent Systems. 19:40-48
As users navigate through online document collections on high-volume Web servers, they depend on good recommendations. We present a novel maximum-entropy algorithm for generating accurate recommendations and a data-clustering approach for speeding up
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a22a4f68c7bc7aa6b43519f2587f6af
https://doi.org/10.1109/mis.2004.59
https://doi.org/10.1109/mis.2004.59
Autor:
Eren Manavoglu, Haibin Cheng, Ruofei Zhang, Javad Azimi, Vidhya Navalpakkam, Roelof van Zwol, Yang Zhou
Publikováno v:
KDD
Non-guaranteed display advertising (NGD) is a multi-billion dollar business that has been growing rapidly in recent years. Advertisers in NGD sell a large portion of their ad campaigns using performance dependent pricing models such as cost-per-click
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c6b82f9a45f6a00d7ea3215c0ab6c75
https://doi.org/10.1145/2339530.2339652
https://doi.org/10.1145/2339530.2339652
Publikováno v:
Proceedings of the Sixth International Workshop on Data Mining for Online Advertising and Internet Economy.
Display advertising has been growing rapidly in recent years, with revenue generated from display ads placed on spaces allocated on publisher's web pages. Traditionally, the design and layout of ad spaces on a web page are predetermined and fixed for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05b87e0dfb6b421e36af6d5b1d10d87d
https://doi.org/10.1145/2351356.2351365
https://doi.org/10.1145/2351356.2351365
Publikováno v:
WSDM
In on-line search and display advertising, the click-trough rate (CTR) has been traditionally a key measure of ad/campaign effectiveness. More recently, the market has gained interest in more direct measures of profitability, one early alternative is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::127a900f6461efc4860ce2fe2d30ce7a
https://doi.org/10.1145/2124295.2124333
https://doi.org/10.1145/2124295.2124333
Publikováno v:
SIGIR
Previous studies on search engine click modeling have identified two presentation factors that affect users' behavior: (1) position bias: the same result will get a different number of clicks when displayed in different positions and (2) externalitie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29ec72f74aa32eb4f42ea2a0bd6ab560
https://doi.org/10.1145/1835449.1835470
https://doi.org/10.1145/1835449.1835470