Invention Grant
US09535897B2 Content recommendation system using a neural network language model
有权
内容推荐系统采用神经网络语言模型
- Patent Title: Content recommendation system using a neural network language model
- Patent Title (中): 内容推荐系统采用神经网络语言模型
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Application No.: US14136111Application Date: 2013-12-20
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Publication No.: US09535897B2Publication Date: 2017-01-03
- Inventor: Glen Anderson , Michael Schuster
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06F17/27
- IPC: G06F17/27 ; G06F17/28 ; G06N3/02 ; G06Q30/06 ; H04N21/466 ; G06F17/30 ; H04N21/442

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.
Public/Granted literature
- US20150178265A1 Content Recommendation System using a Neural Network Language Model Public/Granted day:2015-06-25
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