Recommendation method and system based on recurrent neural network

A technology of recurrent neural network and recommendation method, applied in the field of recommendation method and system based on recurrent neural network, can solve the problem of not being able to clearly state whether the user likes it or not.

Active Publication Date: 2016-02-24
NO 709 RES INST OF CHINA SHIPBUILDING IND CORP
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Problems solved by technology

[0004] Second, user behavior exhibits enormous uncertainty in terms of expressed user preferences
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  • Recommendation method and system based on recurrent neural network
  • Recommendation method and system based on recurrent neural network
  • Recommendation method and system based on recurrent neural network

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[0026] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention and are not intended to limit the invention.

[0027] Such as figure 1 As shown, the embodiment of the present invention provides a recommendation method based on a recurrent neural network, and the recommendation method based on a recurrent neural network includes the following steps:

[0028] S1. Collect the historical behavior of users on items, and establish a recurrent neural network;

[0029] S2. Sort the historical behaviors recorded by each user according to the behavior occurrence time; and generate corresponding training samples for each user;

[0030] S3. Train the recurrent neural network according to the training sam...

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Abstract

The present invention provides a recommendation method and system based on a recurrent neural network. The method comprises: using a recurrent neural network model to model a user behavior and using the model for a recommendation system; constructing a recurrent neural network model learning method for the recommendation system by combining a BP algorithm principle with a neural network structure of the present invention; training the recurrent neural network according to a feature of the recommendation system, and establishing a unique neural network structure, so as to generate a recommendation list for different users corresponding to interests thereof according to the new neural network structure. According to the recommendation method and system, user preferences are learned from history behaviors of the user by using the recurrent neural network, and a recommendation service is provided for the user on this basis; user behaviors of different types can be represented uniformly based on a time sequence according to a unique recursive structure of the recurrent neural network; and a deep neural network structure is formed if the recurrent neural network expands in time, and the user behaviors with relatively large randomness can be represented more accurately.

Description

technical field [0001] The invention relates to the technical field of system recommendation, in particular to a recommendation method and system based on a recursive neural network. Background technique [0002] Currently, network service providers provide users with online services such as news, commodities, pictures, videos, audios, documents, etc. (hereinafter collectively referred to as items). In order to provide better services for users, service providers will record the historical behavior of users, such as recording which items the user has purchased (used), evaluation of items, clicks, forwarding, comments, etc. According to the user's historical behavior, providing users with accurate recommendations is a major challenge for the recommendation system, which is mainly manifested in: [0003] First, although user historical behavior provides important information for understanding user preferences and recommending items for users. But various user behaviors have ...

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Application Information

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IPC IPC(8): G06F17/30G06N3/08
CPCG06F16/9535G06N3/08
Inventor 刘俊涛王军伟邓德位
Owner NO 709 RES INST OF CHINA SHIPBUILDING IND CORP
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