all AI news
Merchandise Recommendation for Retail Events with Word Embedding Weighted Tf-idf and Dynamic Query Expansion. (arXiv:2208.08581v1 [cs.IR])
Aug. 19, 2022, 1:10 a.m. | Ted Tao Yuan, Zezhong Zhang
cs.LG updates on arXiv.org arxiv.org
To recommend relevant merchandises for seasonal retail events, we rely on
item retrieval from marketplace inventory. With feedback to expand query scope,
we discuss keyword expansion candidate selection using word embedding
similarity, and an enhanced tf-idf formula for expanded words in search
ranking.
More from arxiv.org / cs.LG updates on arXiv.org
Generalized Schr\"odinger Bridge Matching
1 day, 3 hours ago |
arxiv.org
Tight bounds on Pauli channel learning without entanglement
1 day, 3 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Data Analyst
@ SEAKR Engineering | Englewood, CO, United States
Data Analyst II
@ Postman | Bengaluru, India
Data Architect
@ FORSEVEN | Warwick, GB
Director, Data Science
@ Visa | Washington, DC, United States
Senior Manager, Data Science - Emerging ML
@ Capital One | McLean, VA