143 citations
- Technion – Israel Institute of TechnologyIL3 papers
- University of Illinois Urbana-ChampaignUS3 papers
- University of Wisconsin–MadisonUS3 papers
- Amazon (United States)US2 papers
- Institut de recherche mathématique de RennesFR2 papers
- Santa Clara UniversityUS2 papers
- SMART ReadingUS2 papers
- University of California, RiversideUS2 papers
- University of Illinois ChicagoUS2 papers
- University of VirginiaUS2 papers
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5 papers · 1 filter
Text Embeddings for Retrieval From a Large Knowledge Base
Tolgahan Cakaloglu, Christian Szegedy, Xiaowei Xu
Text embedding representing natural language documents in a semantic vector space can be used for document retrieval using nearest neighbor lookup. In order to study the feasibilit…
A Machine Learning Approach to Shipping Box Design
Guang Yang, Cun Mu
Having the right assortment of shipping boxes in the fulfillment warehouse to pack and ship customer's online orders is an indispensable and integral part of nowadays eCommerce bus…
Leveraging Catalog Knowledge Graphs for Query Attribute Identification in E-Commerce Sites
Suhas Ranganath
Millions of people use online e-commerce platforms to search and buy products. Identifying attributes in a query is a critical component in connecting users to relevant items. Howe…
End-to-End Neural Ranking for eCommerce Product Search: an application of task models and textual embeddings
Eliot Brenner, Jun Zhao, Aliasgar Kutiyanawala +1
We consider the problem of retrieving and ranking items in an eCommerce catalog, often called SKUs, in order of relevance to a user-issued query. The input data for the ranking are…
Revisiting Skip-Gram Negative Sampling Model with Rectification
Cun Mu, Guang Yang, Zheng Yan
We revisit skip-gram negative sampling (SGNS), one of the most popular neural-network based approaches to learning distributed word representation. We first point out the ambiguity…