Content recommendation system using a neural network language model
US9535897B2 · kind B2 · utility
11Cited by
1References
14Claims
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Key dates
| Filing date | Dec 20, 2013 |
| Grant date | Jan 3, 2017 |
| Priority date | — |
| Expiry date | Jan 21, 2035 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N21/4668
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to applying techniques similar to those used in neural network language modeling systems to a content recommendation system. For example, by associating consumed media content to words of a language model, the system may provide content predictions based on an ordering. Thus, the systems and techniques described herein may produce enhanced prediction results for recommending content (e.g. word) in a given sequence of consumed content. In addition, the system may account for additional user actions by representing particular actions as punctuation in the language model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.