Content recommendation system using a neural network language model
US9934515B1 · kind B1 · utility
4Cited by
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20Claims
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Key dates
| Filing date | Dec 6, 2016 |
| Grant date | Apr 3, 2018 |
| Priority date | — |
| Expiry date | Dec 6, 2036 |
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.