| Vol-2311 urn:nbn:de:0074-2311-9 Copyright © 2017 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# eCOM 2017
The SIGIR 2017 Workshop on eCommerce

### Proceedings of the SIGIR 2017 Workshop On eCommerce
co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017)

### Tokyo, Japan, August 11, 2017.

Edited by

### Jon Degenhardt *
Surya Kallumadi **
Maarten de Rijke ***
Luo Si ****
Andrew Trotman *****
Yinghui Xu ******

* eBay inc., USA
** Kansas State University, USA
*** University of Amsterdam
**** Alibaba
***** University of Otago
****** Taobao

## 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

2019-01-21: submitted by Andrew Trotman, metadata incl. bibliographic data published under Creative Commons CC0
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