Method and system for personalized recommendation modeling
US9473730B1 · kind B1 · utility
Assignees
Inventors
Key dates
| Filing date | Feb 13, 2012 |
| Grant date | Oct 18, 2016 |
| Priority date | — |
| Expiry date | Jul 22, 2032 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N21/482
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A method and system for modeling the interests of an individual television viewer based on logging the user's television usage activities for the purpose of determining personalized recommendations is presented. According to one aspect of the claimed subject matter, user input in response to a questionnaire, the user's recorded television usage, the user's previous interactions with the personalized recommendations and contextual data such as external events and social group influences are used to model the probability of a user's interest in available media content. Data from the model is subsequently arranged to display units of available media content with the highest probabilities of user interest to the user. According to further embodiments, specific user behavior in previously consumed media content such as a user's selection, a user's continuous consumption, and a user's discontinuation of consumption is tracked and used as input.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.