User trajectory-based interest point recommendation method

Abstract

The invention provides a user trajectory-based interest point recommendation method which comprises the following steps of: firstly, collecting user trajectory data, deleting ping-pong data and driftdata in an original data set to reduce the influence of noise data on the accuracy of the recommendation method, and then extracting attribute characteristics in different regions; performing statistics on surrounding pedestrian flow data and uplink and downlink pedestrian flow data of a position where a POI is located, constructing a training sample set, designing a model WideDeep CNN by combining a Wide model and a Deep CNN model, and predicting a score value of the POI to be recommended in a region to be monitored by using the model WideDeep CNN. According to the method, the training sampleset is constructed by fully using user trajectory data; scoring fingers of different types of POIs are generated based on a neural network model, and then a POI list is generated according to the scoring values. According to the method, time-space information contained in the mobile big data is deeply mined, the requirements of the public are analyzed, and the interest point recommendation problem is better solved.

Description

technical field [0001] The invention relates to the technical field of point-of-interest recommendation, in particular to a point-of-interest recommendation method based on user tracks. Background technique [0002] POI is the abbreviation of "Point of Interest", which can be translated as "Point of Interest" in Chinese. A POI can be a house, a unit, a public facility, etc. Most human activities are space-related and affected by space attenuation effects. The impact of POIs on human activities is also closely related to spatial distance to a certain extent. Measuring it can support a variety of applications. For example, for the measurement of public facilities, its service scope can be found for planning; for the measurement of the spatial range of commercial POI points, it can be used for personalized services and accurate delivery of advertisements. A point of interest is a point object with geographical identification, including information such as name, category, and...

AI Technical Summary

Problems solved by technology

At present, most of the research work on interest points only focuses on the generation of a few types of interest points, and there are few general interest point generation models. Therefore, it is meaningful to study reasonable generation methods of interest points

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