Real-time online-learning object recommendation engine
US9773063B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 7, 2011 |
| Grant date | Sep 26, 2017 |
| Priority date | — |
| Expiry date | Dec 24, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/9536
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a system includes one or more computing systems that implement a social networking environment containing a large number of heterogeneous objects type, each of the plurality of object types having varying features, the system implementing a generic object recommendation engine for scoring objects and recommending the objects to users of the social networking system. In particular embodiments, the user and content object features are fed as inputs into a heuristic model that generates an expected value for the content object and user. In particular embodiments, the object recommendation engine includes an online learner that may log a user's actions after the initial impression to determine the relatively degree of interest to the user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.