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