Content item recommendations based on content attribute sequence
US9875245B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 10, 2015 |
| Grant date | Jan 23, 2018 |
| Priority date | — |
| Expiry date | Jul 15, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/4387
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
User created playlists can be analyzed to create a statistical language model indicating the likelihood that a particular sequence of content attributes will be found in a playlist created by a user, as well as the likelihood of any sequence of one or more content attributes following a playlist or partial playlist created by a user. The language model can be used to generate a recommended content attribute sequence based on a partial playlist of one or more content items. A recommended content item sequence that will be pleasant to a user when added to the partial playlist can be selected based on the recommended content attribute sequence.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.