eCom 2018
The SIGIR 2018 Workshop On eCommerce

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