SIGIR eCom
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The following papers have been accepted at SIGIR eCom 2017 :
  • Understanding User Behavior in Job and Talent Search: An Initial Investigation  [PDF] ​                                    
                  Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat,                                               Mark Sanderson, Falk Scholer and Justin Zobel
  • Predicting Sales from the Language of Product Descriptions​  [PDF]             
​                  Reid Pryzant, Young-Joo Chung and Dan Jurafsky
  • Unsupervised Topic Modelling in a Book Recommender System for New Users  [PDF]
                  Haifa Alharthi, Diana Inkpen and Stan Szpakowicz
  • Predicting Shopping Behavior with Mixture of RNNs  [PDF]
                   Arthur Toth, Louis Tan, Giuseppe Di Fabbrizio and Ankur Datta
  • Query Rewrite for Null and Low Search Results in eCommerce  [PDF]
                   Zehong Tan, Canran Xu, Mengjie Jiang, Hua Yang and Xiaoyuan Wu
  • Document Reordering is Good, Especially for e-Commerce  [PDF]
                   Vishnusaran Ramaswamy, Roberto Konow, Andrew Trotman, Jon Degenhardt and Nick Whyte
  • Query Segmentation via RNN Encoder Decoder Framework  [PDF]
                   Yiu-Chang Lin, Giuseppe Di Fabbrizio and Ankur Datta
  • The Architecture of eBay Search  [PDF]
                  Andrew Trotman, Jon Degenhardt and Surya Kallumadi
  • How to Balance Privacy and Money through Pricing Mechanism in Personal Data Market  [PDF]
                  Rachana Nget, Yang Cao and Masatoshi Yoshikawa
  • Argument based Online Deceptive Review Spam Detection  [PDF]
                  Haijing Liu, Pin Lv, Shiqiang Geng, Xueyu Duan, Xinwei Zhao and Junxing Hu
  • Discovering Similar Products in Fashion E-commerce  [PDF]
                  Amber Madvariya and Sumit Borar
  • A content-based recommender system for e-commerce offers and coupons  [PDF]
                  Yandi Xia, Giuseppe Di Fabbrizio, Shikhar Vaibhav and Ankur Datta
  • Address Fraud: Monkey Typed Address Classification for e-Commerce Applications  [PDF]
                  Ravindra Babu T and Vishal Kakkar
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  • Home
  • Program
  • Accepted Papers
  • Organizers
  • Call For Papers
  • Important Dates