all AI news
Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search. (arXiv:2206.06588v1 [cs.IR])
June 15, 2022, 1:10 a.m. | Chandan K. Reddy, Lluís Màrquez, Fran Valero, Nikhil Rao, Hugo Zaragoza, Sambaran Bandyopadhyay, Arnab Biswas, Anlu Xing, Karthik Subbian
cs.LG updates on arXiv.org arxiv.org
Improving the quality of search results can significantly enhance users
experience and engagement with search engines. In spite of several recent
advancements in the fields of machine learning and data mining, correctly
classifying items for a particular user search query has been a long-standing
challenge, which still has a large room for improvement. This paper introduces
the "Shopping Queries Dataset", a large dataset of difficult Amazon search
queries and results, publicly released with the aim of fostering research in
improving …
arxiv benchmark dataset product product search scale search shopping
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US