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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

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A Best Match KNN-based Approach for Large-scale Product Categorization
Haohao Hu | Runjie Zhu | Yuqi Wang | Wenying Feng | Xing Tan | Jimmy Xiangji Huang

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A Framework to Discover Significant Product Aspects from e-Commerce Product Reviews
Saratchandra Indrakanti | Gyanit Singh

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A Multimodal Recommender System for Large-scale Assortment Generation in e-Commerce
Murium Iqbal | Adair Kovac | Kamelia Aryafar

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Address Clustering for e-Commerce Applications
Vishal Kakkar | T. Ravindra Babu

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An Empirical Study of Using An Ensemble Model in e-Commerce Taxonomy Classification Challenge
Yugang Jia | Xin Wang | Hanqing Cao | Boshu Ru | Tianzhong Yang

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An End-to-end Model of Predicting Diverse Ranking On Heterogeneous Feeds
Zizhe Gao | Zheng Gao | Heng Huang | Zhuoren Jiang | Yuliang Yan

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Carl: Sports Award Recommender
Martin Pichl | Bernward Pichl | Eva Zangerle

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Central Intention Identification for Natural Language Search Query in E-Commerce
Xusheng Luo | Yu Gong | Xi Chen

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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

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Did We Get It Right? Predicting Query Performance in e-Commerce Search
Rohan Kumar | Mohit Kumar | Neil Shah | Christos Faloutsos

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Dynamic Query Substitution in Fast Evolving Fashion
Kritika Jain | Nilaksh Bajpai | Ankul Batra | Naveen Pajjuri Reddy

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Ecommerce Product Title Classification
Sylvain Goumy | Mohamed-Amine Mejri

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Encoder-Decoder Neural Networks for Taxonomy Classification
Makoto Hiramatsu | Kei Wakabayashi

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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

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High Accuracy Recall Task
Andrew Trotman | Surya Kallumadi | Jon Degenhardt

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Large Scale Taxonomy Classification using BiLSTM with Self-Attention
Hang Gao | Tim Oates

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Large-Scale Taxonomy Problem: a Mixed Machine Learning Approach
Quentin Labernia | Yashio Kabashima | Michimasa Irie | Toshiyuki Oike | Kohei Asano | Jinhee Chun | Takeshi Tokuyama

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Leveraging Catalog to Resolve Conflicting Query Attributes in e-Commerce Sites
Suhas Ranganath

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Multi-level Deep Learning based e-Commerce Product Categorization
Wenhu Yu | Zhiqiang Sun | Haifeng Liu | Zhipeng Li | Zhitong Zheng

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Noise-aware Missing Shipment Return Comment Classification in e-Commerce
Avijit Saha | Vishal Kakkar | T. Ravindra Babu

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Overview of the SIGIR 2018 eCom Rakuten Data Challenge
Yiu-Chang Lin | Pradipto Das | Ankur Datta

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PReFacTO: Preference Relations Based Factor Model with Topic Awareness and Offset
Priyanka Choudhary | Maunendra Sankar Desarkar

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Predicting Purchasing Intent: Automatic Feature Learning using Recurrent Neural Networks
Humphrey Sheil | Omer F. Rana | Ronan Reilly

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Product Categorization with LSTMs and Balanced Pooling Views
Michael Skinner

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Realtime Query Completion via Deep Language Models
Po-Wei Wang | Huan Zhang | Vijai Mohan | Inderjit S. Dhillon | J. Zico Kolter

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Speeding up the Metabolism in e-Commerce by Reinforcement Mechanism Design
Hua-Lin He | Chun-Xiang Pan | Qing Da | Anxiang Zeng

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Team Waterloo at the SIGIR e-Commerce Data Challenge
Angshuman Ghosh | Vineet John | Rahul Iyer

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TopSig at the SIGIR'eCom 2018 Rakuten Data Challenge
Timothy Chappell | Shlomo Geva | Lawrence Buckingham

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Towards Optimization of e-Commerce Search and Discovery
Anjan Goswami | Chengxiang Zhai | Prasant Mohapatra

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Towards Practical Visual Search Engine within Elasticsearch
Cun Mu | Jun Zhao | Guang Yang | Jing Zhang | Zheng Yan

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Towards a Simplified Ontology for Better e-Commerce Search
Aliasgar Kutiyanawala | Prateek Verma | Zheng Yan

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Unconstrained Production Categorization with Sequence-to-Sequence Models
Maggie Yundi Li | Liling Tan | Stanley Kok | Ewa Szymanska

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Visualizing and Understanding Deep Neural Networks in CTR Prediction
Lin Guo | Hui Ye | Wenbo Su | Henhuan Liu | Kai Sun | Hang Xiang