IDENTIFYING CATEGORIZED MISPLACEMENT

Patent №

US 9,104,968

Granted

2015-08-11

Filed 2014

Owner

ALIBABA GROUP HOLDING LIMITED

Lab

AI components

4

ml · nlp · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14302332

The present disclosure provides methods and devices for identifying category misplacement. In one embodiment, an example device obtains a word frequency of each respective word in a product title under a current category, calculates an overall word frequency of the product title under the current category based on the word frequency of each respective word under the current category, and compares the overall word frequency of the product title with a threshold of the current category to determine an existence of category misplacement. The techniques can accurately identify category misplacement and reduce the probability of missing identifying category misplacement. The techniques also require less system resources and improve calculation efficiency.

AI classification

Natural language1.00
Knowledge representation0.99
Machine learning0.92
Planning0.64
AI hardware0.11
Vision0.06
Speech0.00
Evolutionary computation0.00

Ownership

ALIBABA GROUP HOLDING LIMITED

assignment · 357050894

Assignors

WANG, YULIN

On an employer assignment, the assignors are typically the inventors.

From the same owner

© 2026 NYSGPT2525 LLC