Patent · US Active

Automatic genre classification determination of web content to which the web content belongs together with a corresponding genre probability

US10764353B2 · kind B2 · utility

1Cited by

4References

18Claims

0Family size

Assignee

International Business Machines Corporation · US

Inventors

Dirk Harz · Kassel, DE
Ralf Iffert · Kassel, DE
Mark Keinhoerster · Düsseldorf, DE
Mark Usher · Kassel, DE

Key dates

Filing date	Oct 18, 2018
Grant date	Sep 1, 2020
Priority date	—
Expiry date	Oct 18, 2038

Classification

Technology area (CPC G)Physics
CPC primaryG06N20/00
WIPO fieldDigital communication
WIPO sectorElectrical engineering

Abstract

A mechanism is provided for automatic genre determination of web content. For each type of web content genre, a set of relevant feature types are extracted from collected training material, where genre features and non-genre features are represented by tokens and an integer counts represents a frequency of appearance of the token in both a first type of training material and a second type of training material. In a classification process, fixed length tokens are extracted for relevant features types from different text and structural elements of web content. For each relevant feature type, a corresponding feature probability is calculated. The feature probabilities are combined to an overall genre probability that the web content belongs to a specific trained web content genre. A genre classification result is then output comprising at least one specific trained web content genre to which the web content belongs together with a corresponding genre probability.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.