| Vol-2319 urn:nbn:de:0074-2319-2 Copyright © 2018 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 2018
The SIGIR 2018 Workshop On eCommerce

### The SIGIR 2018 Workshop On eCommerce
co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018)

### Ann Arbor, Michigan, USA, July 12, 2018.

Edited by

### Jon Degenhardt *
Giuseppe Di Fabbrizio **
Surya Kallumadi ***
Mohit Kumar ****
Andrew Trotman *****
Yiu-Chang Lin **
Huasha Zhao ******

* eBay inc., USA
** Rakuten, USA
*** Kansas State University, USA
**** Flipkart, India
***** University of Otago, New Zealand
****** Alibaba, China

## Table of Contents

- Preface

### Papers

- Did We Get It Right? Predicting Query Performance in e-Commerce Search
  Rohan Kumar, Mohit Kumar, Neil Shah, Christos Faloutsos
- Towards a Simplified Ontology for Better e-Commerce Search
  Aliasgar Kutiyanawala, Prateek Verma, Zheng Yan
- Carl: Sports Award Recommender
  Martin Pichl, Bernward Pichl, Eva Zangerle
- Predicting Purchasing Intent: Automatic Feature Learning using Recurrent Neural Networks
  Humphrey Sheil, Omer Rana, Ronan Reilly
- High Accuracy Recall Task
  Andrew Trotman, Surya Kallumadi, Jon Degenhardt
- Dynamic Query Substitution in Fast Evolving Fashion
  Kritika Jain, Nilaksh Bajpai, Ankul Batra, Naveen Pajjuri Reddy
- Towards Practical Visual Search Engine within Elasticsearch
  Cun Mu, Jun Zhao, Guang Yang, Jing Zhang, Zheng Yan
- Address Clustering for e-Commerce Applications
  Vishal Kakkar, Ravindra Babu T
- Speeding up the Metabolism in e-Commerce by Reinforcement Mechanism Design
  Hua-Lin He, Chun-Xiang Pan, Qing Da, An-Xiang Zeng
- End-to-End Neural Ranking for eCommerce Product Search: an Application of Task Models and Textual Embeddings
  Eliot Brenner, Jun Zhao, Aliasgar Kutiyanawala, Zheng Yan
- A Multimodal Recommender System for Large-scale Assortment Generation in e-Commerce
  Murium Iqbal, Adair Kovac, Kamelia Aryafar
- Visualizing and Understanding Deep Neural Networks in CTR Prediction
  Lin Guo, Hui Ye, Wenbo Su, Hehuan Liu, Kai Sun, Hang Xiang
- PReFacTO: Preference Relations Based Factor Model with Topic Awareness and Offset
  Priyanka Choudhary, Maunendra Sankar Desarkar
- A Framework to Discover Significant Product Aspects from e-Commerce Product Reviews
  Saratchandra Indrakanti, Gyanit Singh
- An End-to-end Model of Predicting Diverse Ranking On Heterogeneous Feeds
  Zizhe Gao, Zheng Gao, Heng Huang, Zhuoren Jiang, Yuliang Yan
- Towards Optimization of e-Commerce Search and Discovery
  Anjan Goswami, Chengxiang Zhai, Prasant Mohapatra
- Realtime Query Completion via Deep Language Models
  Po-Wei Wang, Huan Zhang, Vijai Mohan, Inderjit S. Dhillon, J. Zico Kolter
- Leveraging Catalog to Resolve Conflicting Query Attributes in e-Commerce Sites
  Suhas Ranganath
- Noise-aware Missing Shipment Return Comment Classification in e-Commerce
  Avijit Saha, Vishal Kakkar, Ravindra Babu
- Central Intention Identification for Natural Language Search Query in E-Commerce
  Xusheng Luo, Yu Gong, Xi Chen

### Data Challenge Papers

- Overview of the SIGIR 2018 eCom Rakuten Data Challenge
  Yiu-Chang Lin, Pradipto Das, Ankur Datta
- Convolutional Neural Network and Bidirectional LSTM Based Taxonomy Classification Using External Dataset at SIGIR eCom Data Challenge
  Shogo Suzuki, Yohei Iseki, Hiroaki Shiino, Hongwei Zhang, Aya Iwamoto, Fumihiko Takahashi
- Multi-level Deep Learning based e-Commerce Product Categorization
  Wenhu Yu, Zhiqiang Sun, Haifeng Liu, Zhipeng Li, Zhitong Zheng
- Encoder-Decoder Neural Networks for Taxonomy Classification
  Makoto Hiramatsu, Kei Wakabayashi
- Large-Scale Taxonomy Problem: a Mixed Machine Learning Approach
  Quentin Labernia, Yashio Kabashima, Michimasa Irie, Toshiyuki Oike, Kohei Asano, Jinhee Chun, Takeshi Tokuyama
- Ecommerce Product Title Classification
  Sylvain Goumy, Mohamed-Amine Mejri
- An Empirical Study of Using An Ensemble Model in e-Commerce Taxonomy Classification Challenge
  Yugang Jia, Xin Wang, Hanqing Cao, Boshu Ru, Tianzhong Yang
- Unconstrained Production Categorization with Sequence-to-Sequence Models
  Yundi Maggie Li, Liling Tan, Stanley Kok, Ewa Szymanska
- A Best Match KNN-based Approach for Large-scale Product Categorization
  Haohao Hu, Runjie Zhu, Yuqi Wang, Wenying Feng, Xing Tan, Jimmy Xiangji Huang
- Product Categorization with LSTMs and Balanced Pooling Views
  Michael Skinner
- Large Scale Taxonomy Classification using BiLSTM with Self-Attention
  Hang Gao, Tim Oates
- TopSig at the SIGIR'eCom 2018 Rakuten Data Challenge
  Timothy Chappell, Shlomo Geva, Lawrence Buckingham
- Team Waterloo at the SIGIR e-Commerce Data Challenge
  Angshuman Ghosh, Vineet John, Rahul Iyer

2019-02-19: submitted by Andrew Trotman, University of Otago. Bibliographic data published under Creative Commons CC0
2019-02-20: published on CEUR-WS.org |valid HTML5|