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SIGIR 2018 Workshop on eCommerce (ECOM18)

Jon Degenhardt, Pino Di Fabbrizio, Surya Kallumadi, Mohit Kumar, Yiu-Chang Lin, Andrew Trotman, Huasha Zhao
2018 The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval - SIGIR '18  
This paper presents an overview of the SIGIR 2018 eCom Rakuten Data Challenge.  ...  In this data challenge, Rakuten.com has released a sampling of one million product titles and the corresponding anonymized category paths from their entire product catalog.  ...  to the lack of an actual commercial e-commerce catalog data.  ... 
doi:10.1145/3209978.3210192 dblp:conf/sigir/DegenhardtFKKLT18 fatcat:t5q34ucvorgntakrneph5sdzve

Report on the SIGIR 2019 Workshop on eCommerce (ECOM19) [article]

Jon Degenhardt, Surya Kallumadi, Utkarsh Porwal, Andrew Trotman
2019 arXiv   pre-print
A second goal was to run a data challenge on real-world eCommerce data.  ...  The SIGIR 2019 Workshop on eCommerce (ECOM19), was a full day workshop that took place on Thursday, July 25, 2019 in Paris, France.  ...  Thanks also to the panelists, and participants for their contribution to the workshop.  ... 
arXiv:1912.12282v1 fatcat:6cwvvxjnnbfy5czmhl76oakg2q

Second order probabilistic models for within-document novelty detection in academic articles

Laurence A.F. Park, Simeon Simoff
2014 Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval - SIGIR '14  
Learning to Bridge Colloquial and Formal Language Applied to Linking and Search of E-Commerce Data Ivan Vulić, Susana Zoghbi, Marie-Francine Moens 94.  ...  His teams build big data technologies, and development frameworks and services, including Pivotal's Hadoop, SIGIR 2014 Session 6 Thursday 10 th July, 10:30-11:45 #moremicroblog #sigir2014 (Room 5  ... 
doi:10.1145/2600428.2609520 dblp:conf/sigir/ParkS14 fatcat:ye2rtri2xjbyrjvkkzgt7srcfu

Assessing top-k preferences [article]

Charles L. A. Clarke, Alexandra Vtyurina, Mark D. Smucker
2021 arXiv   pre-print
In this paper, we explore the assessment process for partial preference judgments, with the aim of identifying and ordering the top items in the pool, rather than fully ordering the entire pool.  ...  To measure the performance of a ranker, we compare its output to this preferred ordering by applying a rank similarity measure.We demonstrate the practical feasibility of this approach by crowdsourcing  ...  assessment by the research team.  ... 
arXiv:2007.11682v2 fatcat:lkdxeb5dgbe5zk6vo532bad5ge

Large Scale Taxonomy Classification using BiLSTM with Self-Attention [article]

Hang Gao, Tim Oates, University, My, University, My
2018
from these words as the final representation of the product title.  ...  In this paper we present a deep learning model for the task of large scale taxonomy classification, where the model is expected to predict the corresponding category ID path given a product title.  ...  INTRODUCTION The cataloging of product listing through taxonomy categorization is a popular research area for many e-commerce marketplace.  ... 
doi:10.13016/m2154ds3x fatcat:iodmiayasvhrniykf4atml7ib4

Workshop on Task-based Information Search Systems

Figshare Admin Nsf
2018
The most critical need identified was the development of task models; this was viewed as essential for addressing the challenges of tools and evaluation measures.  ...  data of people's online information seeking behaviors.  ...  Any options, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.  ... 
doi:10.25391/nsf.6815078 fatcat:wid4jw4ztjbhfmuu35zko3r7ie

Exploiting task-document relations in support of information retrieval in the workplace

Luanne Freund
2008 SIGIR Forum  
While at CAS, I had the opportunity to collaborate with other students and researchers.  ...  Colleagues at the Faculty of Information Studies provided yet another network of support and guidance over the course of this work.  ...  X-Site was implemented as an extension to MultiText, a pre-existing indexing and retrieval engine developed at the University of Waterloo.  ... 
doi:10.1145/1480506.1480529 fatcat:gohltw3bczhnxce3yf4rjugpc4

Dagstuhl Reports, Volume 7, Issue 7, July 2017, Complete Issue [article]

2018
Both resulting models learn from organic e-commerce data, which is characterised by clean image material, but noisy and incomplete product descriptions.  ...  Social Media and e-Commerce In the first use case, we have focused on linking content (textual descriptions of pins in Pinterest to webshops).  ...  GENIA Corpus 60 is a popular corpus that has been used to evaluate various ATE algorithm for the last decade.  ... 
doi:10.4230/dagrep.7.7 fatcat:ve4n3wvvk5bkfgae36nsto7sre

Recommendation models for dynamic spatiotemporal big data

Παύλος Φ. Κεφαλάς
2017
Recent years, the evolving nature of social networks has led to the expeditious growth of the internet and the rapid increment of the data on a global scale.  ...  In this context, a new research area in information systems has emerged over the last decades to respond to these challenges.  ...  Other domains of application are education, e-commerce, and entertainment site providers.  ... 
doi:10.26262/heal.auth.ir.292276 fatcat:7hfpfcz5bvchlmoxon2ntcozeu