Výsledky vyhledávání - "Jon Degenhardt"

Report on the SIGIR 2017 Workshop on eCommerce (ECOM17)

Autor: Yiu-Chang Lin, Sindhuja Venkatesh, Maarten de Rijke, Xu Yinghui, Surya Kallumadi, Jon Degenhardt, Andrew Trotman, Luo Si

Publikováno v: ACM SIGIR Forum. 51:128-138

The SIGIR 2017 Workshop on eCommerce (ECOM17), was a full day workshop that took place on Friday, August 11, 2017 in Tokyo, Japan. The purpose of the workshop was to serve as a platform for publication and discussion of Information Retrieval and NLP

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ad032292f158e91f4f27952b021896d6
https://doi.org/10.1145/3190580.3190600

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ECOM'19

Autor: Surya Kallumadi, Utkarsh Porwal, Jon Degenhardt, Andrew Trotman

Publikováno v: SIGIR

eCommerce Information Retrieval is receiving increasing attention in the academic literature, and is an essential component of some of the largest web sites (such as eBay, Amazon, Airbnb, Alibaba, Taobao, Target, Facebook, Home Depot, and others). Th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::51ec2133dc3e39b764cf1098cdfbf6e0
https://doi.org/10.1145/3331184.3331643

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Report on the SIGIR 2019 Workshop on eCommerce (ECOM19)

Autor: Utkarsh Porwal, Surya Kallumadi, Andrew Trotman, Jon Degenhardt

The SIGIR 2019 Workshop on eCommerce (ECOM19), was a full day workshop that took place on Thursday, July 25, 2019 in Paris, France. The purpose of the workshop was to serve as a platform for publication and discussion of Information Retrieval and NLP

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4de7ad01c2c9142aa1e2c36885555359

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SIGIR 2018 Workshop on eCommerce (ECOM18)

Autor: Jon Degenhardt, Yiu-Chang Lin, Huasha Zhao, Andrew Trotman, Pino Di Fabbrizio, Surya Kallumadi, Mohit Kumar

Publikováno v: SIGIR

eCommerce Information Retrieval has received little attention in the academic literature, yet it is an essential component of some of the largest web sites (such as eBay, Amazon, Airbnb, Alibaba, Taobao, Target, Facebook, and others). SIGIR has for s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a6042d87d4a72cb24ba34c00bbd9fd30
https://doi.org/10.1145/3209978.3210192

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SIGIR 2017 Workshop on eCommerce (ECOM17)

Autor: Maarten de Rijke, Luo Si, Andrew Trotman, Yinghui Xu, Surya Kallumadi, Jon Degenhardt

Publikováno v: SIGIR'17 : proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval: August 7-11, 2017, Shinjuku, Tokyo, Japan, 1425-1426
STARTPAGE=1425;ENDPAGE=1426;TITLE=SIGIR'17 : proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
SIGIR

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea9c3018bbef6558d71d5527011265ed
https://doi.org/10.1145/3077136.3084367

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Early exit optimizations for additive machine learned ranking systems

Autor: Zhaohui Zheng, Olivier Chapelle, Jiang Chen, Ciya Liao, B. Barla Cambazoglu, Jon Degenhardt, Hugo Zaragoza

Publikováno v: WSDM

Some commercial web search engines rely on sophisticated machine learning systems for ranking web documents. Due to very large collection sizes and tight constraints on query response times, online efficiency of these learning systems forms a bottlen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::91d62c4bec4a124f3c18dd2b096dd73b
https://doi.org/10.1145/1718487.1718538

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