eCOM 2017
The SIGIR 2017 Workshop on eCommerce

Table of Contents

• Preface
  
  

Papers

• Understanding User Behavior in Job and Talent Search: An Initial Investigation
  Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer, Justin Zobel
• Predicting Sales from the Language of Product Descriptions
  Reid Pryzant, Young-joo Chung, Dan Jurafsky
• Unsupervised Topic Modelling in a Book Recommender System for New Users
  Haifa Alharthi, Diana Inkpen, Stan Szpakowicz
• Predicting Shopping Behavior with Mixture of RNNs
  Arthur Toth, Louis Tan, Giuseppe Di Fabbrizio, Ankur Datta
• Query Rewrite for Null and Low Search Results in eCommerce
  Zehong Tan, Canran Xu, Mengjie Jiang, Hua Yang, Xiaoyuan Wu
• Document Reordering is Good, Especially for e-Commerce
  Vishnusaran Ramaswamy, Roberto Konow, Andrew Trotman, Jon Degenhardt, Nick Whyte
• Query Segmentation via RNNs Encoder-Decoder Framework
  Yiu-Chang Lin, Giuseppe Di Fabbrizio, Ankur Datta
• The Architecture of eBay Search
  Andrew Trotman, Jon Degenhardt, Surya Kallumadi
• How to Balance Privacy and Money through Pricing Mechanism in Personal Data Market
  Rachana Nget, Yang Cao, Masatoshi Yoshikawa
• Discovering Similar Products in Fashion E-commerce
  Amber Madvariya, Sumit Borar
• A Content-based Recommender System for E-commerce Offers and Coupons
  Yandi Xia, Giuseppe Di Fabbrizio, Shikhar Vaibhav, Ankur Datta
• Address Fraud: Monkey Typed Address Classification for e-Commerce Applications
  T. Ravindra Babu, Vishal Kakkar