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A hierarchical neural network query recommendation method and device

A neural network and query recommendation technology, applied in the field of computer networks, can solve the problems that the efficiency and accuracy of query recommendation need to be improved, and user query records are not considered.

Inactive Publication Date: 2019-05-10
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

However, this method only focuses on the current short-term query session and does not consider the user's query records, so the efficiency and accuracy of query recommendation need to be improved

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  • A hierarchical neural network query recommendation method and device
  • A hierarchical neural network query recommendation method and device
  • A hierarchical neural network query recommendation method and device

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Embodiment Construction

[0040] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0041] Although preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0042] The invention provides a layered neural network query recommendation method, in particular a layered neural network query recommendation method based on an attention mechanism, which can improve query recommendation efficiency and accuracy.

[0043] The technical solutions of the embodiments of the present in...

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Abstract

The invention discloses a hierarchical neural network query recommendation method and device. The hierarchical neural network query recommendation method comprises the steps of: performing query recommendation on a hierarchical neural network; establishing two neural networks, namely a session layer neural network for modeling the short-term query record of the user and a user layer neural networkfor modeling the long-term query record of the user, wherein the state vector of the session layer neural network at the current moment is used as the input of the user layer neural network at the current moment, and the state vector of the user layer neural network at the current moment is used as the input of the session layer neural network at the next moment; and outputting query recommendation content for a query session according to the session layer neural network and the user layer neural network. According to the scheme provided by the invention, the query recommendation efficiency and accuracy can be improved.

Description

technical field [0001] The invention relates to the technical field of computer networks, in particular to a layered neural network query recommendation method and device. Background technique [0002] In the prior art, there are various query recommendation methods. Query recommendation is when the user only enters part of the query keywords during the user's information retrieval process, the system can predict the user's query intention and recommend a set of query candidate words for the user to choose from. Query recommendation can help users re-modify the query keywords they input, so as to find the content they need more accurately and improve user satisfaction. At present, most traditional query recommendation methods are based on feature mining, and the features used include co-occurrence and semantic similarity between queries. However, the mining of such features is often defined and operated manually, and it is likely that some hidden features have not been min...

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Application Information

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IPC IPC(8): G06N3/04G06F16/903
Inventor 蔡飞陈洪辉刘俊先罗爱民舒振陈涛罗雪山邓正潘鹏亨
Owner NAT UNIV OF DEFENSE TECH
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