公开(公告)号：US20250117838A1

公开(公告)日：2025-04-10

申请号：US18422321

申请日：2024-01-25

Applicant: Oracle International Corporation

Inventor： Akash BAVISKAR ,  Krishnan RAMANATHAN ,  Vikas AGRAWAL ,  Dipawesh PAWAR

IPC: G06Q30/0601

Abstract: Embodiments classify a product to one of a plurality of product classifications. Embodiments receive a description of the product and create a first prompt for a trained large language model (“LLM”), the first prompt including the description of the product and contextual information of the product. In response to the first prompt, embodiments use the trained LLM to generate a hallucinated product classification for the product. Embodiments word embed the hallucinated product classification and the plurality of product classifications and similarity match the embedded hallucinated product classification with one of the embedded plurality of product classifications. The matched one of the embedded plurality of product classifications is determined to be a predicted classification of the product.

公开(公告)号：US20240037482A1

公开(公告)日：2024-02-01

申请号：US17903161

申请日：2022-09-06

Applicant: Oracle International Corporation

Inventor： Akash BAVISKAR ,  Krishnan RAMANATHAN ,  Abhilash NEOG ,  Dipawesh PAWAR ,  Karthik BANGALORE MANI

IPC: G06Q10/08 ,  G06F16/35 ,  G06F40/211 ,  G06F40/49

CPC classification number: G06Q10/08 ,  G06F16/35 ,  G06F40/211 ,  G06F40/49

Abstract: Embodiments classify a product to a product category. Embodiments receive a textual description of the product and create an index of product categories. Embodiments use a plurality of classifiers to classify the textual description to one of the product categories, the classifiers including an index based classifier, an encyclopedia based classifier, a Bayes' rule based classifier, and an embeddings classifier.