Method and system for making recommendations from binary data using neighbor-score matrix and latent factors
US10932003B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 21, 2015 |
| Grant date | Feb 23, 2021 |
| Priority date | — |
| Expiry date | Jul 19, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N21/8113
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
One embodiment is a method executed by a computer system that applies collaborative filtering to provide a recommendation to a user. The method includes retrieving a binary matrix that includes rows and columns of binary data for preferences of users on items; applying a neighborhood-based approach to convert the binary matrix into a neighbor-score matrix; applying a factorization to approximate the neighbor-score matrix with a product of lower rank matrices; calculating a user factor and an item factor based on the factorization; calculating scores for user-item pairs by computing a dot product between the user factor and the item factor; sorting the scores of the user-item pairs to generate the recommendation to the user; and providing the recommendation to a general-purpose computer of the user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.