Interest point recommendation method based on user positive and negative preference learning

A recommendation method and point-of-interest technology, which is applied in the field of point-of-interest recommendation based on user positive and negative preference learning, can solve the problems of low degree of personalization of recommendation results and low accuracy of point-of-interest recommendation, so as to increase interpretability and personalization and rationality, to ensure real-time effect

Active Publication Date: 2019-12-10
GUILIN UNIV OF ELECTRONIC TECH
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Problems solved by technology

[0004] The purpose of the present invention is to provide a point-of-interest recommendation method based on the user's positive and negative preference learning, using the neural network to learn the deep-level characteristics of the interaction between the user and the scenic spot, and training two neural network models at the same time, the positive preference neural mo...

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  • Interest point recommendation method based on user positive and negative preference learning
  • Interest point recommendation method based on user positive and negative preference learning
  • Interest point recommendation method based on user positive and negative preference learning

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[0041] The specific implementation manner of the present invention will be described in more detail below with reference to schematic diagrams. The advantages and features of the present invention will be more apparent from the following description. It should be noted that all the drawings are in a very simplified form and use imprecise scales, and are only used to facilitate and clearly assist the purpose of illustrating the embodiments of the present invention.

[0042] Such as figure 1 As shown, this embodiment provides a method for recommending points of interest based on user positive and negative preference learning, including:

[0043] Collect the user's historical evaluation value of the visited POI and the relevant attribute data of the visited POI, preprocess the collected data, and unify the user, POI and POI attributes in the preprocessed data serial number;

[0044]According to the user's historical evaluation value for each visited POI, the POIs visited by th...

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Abstract

The invention provides an interest point recommendation method based on user positive and negative preference learning, and the method comprises the steps: learning deep features of interaction between a user and a scenic spot through employing a neural network, and training two neural network models: a positive preference neural model and a negative preference neural model; wherein the positive preference neural network model generates a list of scenic spots loved by the user, and then acquiring a final recommendation list through optimization of the negative preference neural network model,so that more accurate scenic spot recommendation is provided for the user. The problems that traditional interest point recommendation precision is not high, and the individuation degree of recommendation results is low are solved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a point-of-interest recommendation method based on user positive and negative preference learning. Background technique [0002] In recent years, with the rapid development of cloud computing, Internet of Things, mobile Internet, artificial intelligence and other technologies, it has brought a lot of convenience for people to go out, such as watching movies, dining and traveling. However, the emergence of various applications in the Internet space has triggered an explosive growth of data. How to obtain valuable information from the complicated data and recommend suitable points of interest for users is particularly important. The traditional location-based recommendation is mainly based on the popularity statistics of points of interest or combined with the characteristics of users and points of interest. However, it takes a long time to process complex data, and it can only l...

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Application Information

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IPC IPC(8): G06F16/36G06F16/9535G06F16/9537G06Q10/06G06Q50/14G06N3/04
CPCG06F16/9535G06F16/9537G06F16/367G06Q10/0639G06Q50/14G06N3/045
Inventor 宾辰忠陈炜古天龙常亮陈红亮朱桂明
Owner GUILIN UNIV OF ELECTRONIC TECH
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