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ORCIDeCOM@SIGIR 2018: Ann Arbor, MI, USA
- Jon Degenhardt, Giuseppe Di Fabbrizio, Surya Kallumadi, Mohit Kumar, Andrew Trotman, Yiu-Chang Lin, Huasha Zhao:
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. CEUR Workshop Proceedings 2319, CEUR-WS.org 2019
Papers
- Rohan Kumar, Mohit Kumar, Neil Shah, Christos Faloutsos:
Did We Get It Right? Predicting Query Performance in e-Commerce Search. - Aliasgar Kutiyanawala, Prateek Verma, Zheng Yan:
Towards a Simplified Ontology for Better e-Commerce Search. - Martin Pichl, Bernward Pichl, Eva Zangerle:
Carl: Sports Award Recommender. - Humphrey Sheil, Omer F. Rana, Ronan Reilly:
Predicting Purchasing Intent: Automatic Feature Learning using Recurrent Neural Networks. - Andrew Trotman, Surya Kallumadi, Jon Degenhardt:
High Accuracy Recall Task. - Kritika Jain, Nilaksh Bajpai, Ankul Batra, Naveen Pajjuri Reddy:
Dynamic Query Substitution in Fast Evolving Fashion. - Cun Mu, Jun Zhao, Guang Yang, Jing Zhang, Zheng Yan:
Towards Practical Visual Search Engine within Elasticsearch. - Vishal Kakkar, T. Ravindra Babu:
Address Clustering for e-Commerce Applications. - Hua-Lin He, Chun-Xiang Pan, Qing Da, Anxiang Zeng:
Speeding up the Metabolism in e-Commerce by Reinforcement Mechanism Design. - Eliot Brenner, Jun Zhao, Aliasgar Kutiyanawala, Zheng Yan:
End-to-End Neural Ranking for eCommerce Product Search: an Application of Task Models and Textual Embeddings. - Murium Iqbal, Adair Kovac, Kamelia Aryafar:
A Multimodal Recommender System for Large-scale Assortment Generation in e-Commerce. - Lin Guo, Hui Ye, Wenbo Su, Henhuan Liu, Kai Sun, Hang Xiang:
Visualizing and Understanding Deep Neural Networks in CTR Prediction. - Priyanka Choudhary, Maunendra Sankar Desarkar:
PReFacTO: Preference Relations Based Factor Model with Topic Awareness and Offset. - Saratchandra Indrakanti, Gyanit Singh:
A Framework to Discover Significant Product Aspects from e-Commerce Product Reviews. - Zizhe Gao, Zheng Gao, Heng Huang, Zhuoren Jiang, Yuliang Yan:
An End-to-end Model of Predicting Diverse Ranking On Heterogeneous Feeds. - Anjan Goswami, Chengxiang Zhai, Prasant Mohapatra:
Towards Optimization of e-Commerce Search and Discovery. - Po-Wei Wang, Huan Zhang, Vijai Mohan, Inderjit S. Dhillon, J. Zico Kolter:
Realtime Query Completion via Deep Language Models. - Suhas Ranganath:
Leveraging Catalog to Resolve Conflicting Query Attributes in e-Commerce Sites. - Avijit Saha, Vishal Kakkar, T. Ravindra Babu:
Noise-aware Missing Shipment Return Comment Classification in e-Commerce. - Xusheng Luo, Yu Gong, Xi Chen:
Central Intention Identification for Natural Language Search Query in E-Commerce.
Data Challenge Papers
- Yiu-Chang Lin, Pradipto Das, Ankur Datta:
Overview of the SIGIR 2018 eCom Rakuten Data Challenge. - Shogo Suzuki, Yohei Iseki, Hiroaki Shiino, Hongwei Zhang, Aya Iwamoto, Fumihiko Takahashi:
Convolutional Neural Network and Bidirectional LSTM Based Taxonomy Classification Using External Dataset at SIGIR eCom Data Challenge. - Wenhu Yu, Zhiqiang Sun, Haifeng Liu, Zhipeng Li, Zhitong Zheng:
Multi-level Deep Learning based e-Commerce Product Categorization. - Makoto Hiramatsu, Kei Wakabayashi:
Encoder-Decoder Neural Networks for Taxonomy Classification. - Quentin Labernia, Yashio Kabashima, Michimasa Irie, Toshiyuki Oike, Kohei Asano, Jinhee Chun, Takeshi Tokuyama:
Large-Scale Taxonomy Problem: a Mixed Machine Learning Approach. - Sylvain Goumy, Mohamed-Amine Mejri:
Ecommerce Product Title Classification. - Yugang Jia, Xin Wang, Hanqing Cao, Boshu Ru, Tianzhong Yang:
An Empirical Study of Using An Ensemble Model in e-Commerce Taxonomy Classification Challenge. - Maggie Yundi Li, Liling Tan, Stanley Kok, Ewa Szymanska:
Unconstrained Production Categorization with Sequence-to-Sequence Models. - Haohao Hu, Runjie Zhu, Yuqi Wang, Wenying Feng, Xing Tan, Jimmy Xiangji Huang:
A Best Match KNN-based Approach for Large-scale Product Categorization. - Michael Skinner:
Product Categorization with LSTMs and Balanced Pooling Views. - Hang Gao, Tim Oates:
Large Scale Taxonomy Classification using BiLSTM with Self-Attention. - Timothy Chappell, Shlomo Geva, Lawrence Buckingham:
TopSig at the SIGIR'eCom 2018 Rakuten Data Challenge. - Angshuman Ghosh, Vineet John, Rahul Iyer:
Team Waterloo at the SIGIR e-Commerce Data Challenge.
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