3 papers
cs.CL2024
Leveraging LLMs to Enable Natural Language Search on Go-to-market Platforms
Jesse Yao, Saurav Acharya, Priyaranjan Parida +2
Enterprise searches require users to have complex knowledge of queries, configurations, and metadata, rendering it difficult for them to access information as needed. Most go-to-ma…
cs.LG2019
Topic subject creation using unsupervised learning for topic modeling
Rashid Mehdiyev, Jean Nava, Karan Sodhi +2
We describe the use of Non-Negative Matrix Factorization (NMF) and Latent Dirichlet Allocation (LDA) algorithms to perform topic mining and labelling applied to retail customer com…
cs.DB2015
Real-time Top-K Predictive Query Processing over Event Streams
Saurav Acharya, Byung Suk Lee, Paul Hines
This paper addresses the problem of predicting the k events that are most likely to occur next, over historical real-time event streams. Existing approaches to causal prediction qu…