Large-Scale Categorization of Japanese Product Titles Using Neural Attention Models

no code implementations • EACL 2017 • Y Xia, i, Aaron Levine, Pradipto Das, Giuseppe Di Fabbrizio, Keiji Shinzato, Ankur Datta

We propose a variant of Convolutional Neural Network (CNN) models, the Attention CNN (ACNN); for large-scale categorization of millions of Japanese items into thirty-five product categories.

Feature Engineering Product Categorization +1

Web-Scale Language-Independent Cataloging of Noisy Product Listings for E-Commerce

no code implementations • EACL 2017 • Pradipto Das, Y Xia, i, Aaron Levine, Giuseppe Di Fabbrizio, Ankur Datta

The cataloging of product listings through taxonomy categorization is a fundamental problem for any e-commerce marketplace, with applications ranging from personalized search recommendations to query understanding.

Product Categorization Topic Models

Efficient Maximum Appearance Search for Large-Scale Object Detection

no code implementations • CVPR 2013 • Qiang Chen, Zheng Song, Rogerio Feris, Ankur Datta, Liangliang Cao, Zhongyang Huang, Shuicheng Yan

In recent years, efficiency of large-scale object detection has arisen as an important topic due to the exponential growth in the size of benchmark object detection datasets.

Object object-detection +1