The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 30, 2023

Filed:

Aug. 24, 2018
Applicant:

Telefonaktiebolaget Lm Ericsson (Publ), Stockholm, SE;

Inventors:

Alvin Jude Hari Haran, Sundbyberg, SE;

Per-Erik Brodin, Los Gatos, CA (US);

Meral Shirazipour, Santa Clara, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/20 (2019.01); G06Q 40/03 (2023.01); G06F 16/35 (2019.01); G06F 16/28 (2019.01); G06F 16/38 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06Q 40/03 (2023.01); G06F 16/285 (2019.01); G06F 16/35 (2019.01); G06F 16/38 (2019.01); G06N 20/00 (2019.01);
Abstract

An apparatus and method are described herein for training a similarity model that is used to predict similarity between item pairs. In one example, the apparatus is configured to train (build) the similarity model by using machine learning (e.g., a multivariate multiple liner regression process) that utilizes an independent variable including metadata (e.g., title, genre, writer, plot keywords) associated with training items, and two dependent variables including user contributed similarity scores for training item pairs, and collaborative filtering similarity scores for the training item pairs. Then, the apparatus uses the trained model to predict similarity between items.


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