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Publication search results
found 34 matches
- 2019
- 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 [contents] - 2018
- 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. eCOM@SIGIR 2018 - Timothy Chappell, Shlomo Geva, Lawrence Buckingham:
TopSig at the SIGIR'eCom 2018 Rakuten Data Challenge. eCOM@SIGIR 2018 - Priyanka Choudhary, Maunendra Sankar Desarkar:
PReFacTO: Preference Relations Based Factor Model with Topic Awareness and Offset. eCOM@SIGIR 2018 - Zizhe Gao, Zheng Gao, Heng Huang, Zhuoren Jiang, Yuliang Yan:
An End-to-end Model of Predicting Diverse Ranking On Heterogeneous Feeds. eCOM@SIGIR 2018 - Hang Gao, Tim Oates:
Large Scale Taxonomy Classification using BiLSTM with Self-Attention. eCOM@SIGIR 2018 - Angshuman Ghosh, Vineet John, Rahul Iyer:
Team Waterloo at the SIGIR e-Commerce Data Challenge. eCOM@SIGIR 2018 - Anjan Goswami, Chengxiang Zhai, Prasant Mohapatra:
Towards Optimization of e-Commerce Search and Discovery. eCOM@SIGIR 2018 - Sylvain Goumy, Mohamed-Amine Mejri:
Ecommerce Product Title Classification. eCOM@SIGIR 2018 - Lin Guo, Hui Ye, Wenbo Su, Henhuan Liu, Kai Sun, Hang Xiang:
Visualizing and Understanding Deep Neural Networks in CTR Prediction. eCOM@SIGIR 2018 - Hua-Lin He, Chun-Xiang Pan, Qing Da, Anxiang Zeng:
Speeding up the Metabolism in e-Commerce by Reinforcement Mechanism Design. eCOM@SIGIR 2018 - Makoto Hiramatsu, Kei Wakabayashi:
Encoder-Decoder Neural Networks for Taxonomy Classification. eCOM@SIGIR 2018 - Haohao Hu, Runjie Zhu, Yuqi Wang, Wenying Feng, Xing Tan, Jimmy Xiangji Huang:
A Best Match KNN-based Approach for Large-scale Product Categorization. eCOM@SIGIR 2018 - Saratchandra Indrakanti, Gyanit Singh:
A Framework to Discover Significant Product Aspects from e-Commerce Product Reviews. eCOM@SIGIR 2018 - Murium Iqbal, Adair Kovac, Kamelia Aryafar:
A Multimodal Recommender System for Large-scale Assortment Generation in e-Commerce. eCOM@SIGIR 2018 - Kritika Jain, Nilaksh Bajpai, Ankul Batra, Naveen Pajjuri Reddy:
Dynamic Query Substitution in Fast Evolving Fashion. eCOM@SIGIR 2018 - Yugang Jia, Xin Wang, Hanqing Cao, Boshu Ru, Tianzhong Yang:
An Empirical Study of Using An Ensemble Model in e-Commerce Taxonomy Classification Challenge. eCOM@SIGIR 2018 - Vishal Kakkar, T. Ravindra Babu:
Address Clustering for e-Commerce Applications. eCOM@SIGIR 2018 - Rohan Kumar, Mohit Kumar, Neil Shah, Christos Faloutsos:
Did We Get It Right? Predicting Query Performance in e-Commerce Search. eCOM@SIGIR 2018 - Aliasgar Kutiyanawala, Prateek Verma, Zheng Yan:
Towards a Simplified Ontology for Better e-Commerce Search. eCOM@SIGIR 2018 - Quentin Labernia, Yashio Kabashima, Michimasa Irie, Toshiyuki Oike, Kohei Asano, Jinhee Chun, Takeshi Tokuyama:
Large-Scale Taxonomy Problem: a Mixed Machine Learning Approach. eCOM@SIGIR 2018 - Maggie Yundi Li, Liling Tan, Stanley Kok, Ewa Szymanska:
Unconstrained Production Categorization with Sequence-to-Sequence Models. eCOM@SIGIR 2018 - Yiu-Chang Lin, Pradipto Das, Ankur Datta:
Overview of the SIGIR 2018 eCom Rakuten Data Challenge. eCOM@SIGIR 2018 - Xusheng Luo, Yu Gong, Xi Chen:
Central Intention Identification for Natural Language Search Query in E-Commerce. eCOM@SIGIR 2018 - Cun Mu, Jun Zhao, Guang Yang, Jing Zhang, Zheng Yan:
Towards Practical Visual Search Engine within Elasticsearch. eCOM@SIGIR 2018 - Martin Pichl, Bernward Pichl, Eva Zangerle:
Carl: Sports Award Recommender. eCOM@SIGIR 2018 - Suhas Ranganath:
Leveraging Catalog to Resolve Conflicting Query Attributes in e-Commerce Sites. eCOM@SIGIR 2018 - Avijit Saha, Vishal Kakkar, T. Ravindra Babu:
Noise-aware Missing Shipment Return Comment Classification in e-Commerce. eCOM@SIGIR 2018 - Humphrey Sheil, Omer F. Rana, Ronan Reilly:
Predicting Purchasing Intent: Automatic Feature Learning using Recurrent Neural Networks. eCOM@SIGIR 2018 - Michael Skinner:
Product Categorization with LSTMs and Balanced Pooling Views. eCOM@SIGIR 2018
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