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