Multi-context information fused personalized place recommendation method and device

A recommended method and context technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of not considering user differences, poor accuracy, etc.

Active Publication Date: 2018-11-27
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide a personalized location recommendation method and equipment that integrates multiple contextual information to sol

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  • Multi-context information fused personalized place recommendation method and device
  • Multi-context information fused personalized place recommendation method and device
  • Multi-context information fused personalized place recommendation method and device

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Embodiment Construction

[0082] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation of the present invention will now be described in detail with reference to the accompanying drawings.

[0083] Refer to attached figure 1 , an embodiment of the present invention provides a personalized place recommendation method that fuses multiple contextual information, including the following steps:

[0084] Step 1. Data acquisition and preprocessing;

[0085] S1. Download the geographically tagged photo data of the research area from the Flickr website (www.flickr.com);

[0086] S2, using the mean shift (Mean Shift) clustering algorithm to cluster the geotagged photo data;

[0087] S3. Use the following criteria to filter data users: the user has been to at least 6 locations; the average number of photos taken by the user at each location is not less than 2; the photo text comments contain at least 3 text tags.

[0088] ...

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Abstract

The invention provides a multi-context information fused personalized place recommendation method and device. The method includes the following steps: 1, obtaining geographical label photograph data;2, mining geographical label photograph multi-context information, evaluating context information such as the place popularity, the place popularity fluctuation, a spatial distance, user-based collaborative filtering and the user comment based text similarity, and calculating corresponding scores thereof; 3, constructing a "user-place" correlation feature vector on the basis of transforming the personalized place recommendation problem by using a ranking learning based personalized place recommendation model, and using the ranking learning method to establish a place recommendation model; and4, selecting the top n personalized places in prediction values according to the model in the step 3, and generating a recommendation result and evaluating the recommendation result. The method and device can effectively improve the accuracy and recall rate of personalized place recommendation.

Description

technical field [0001] The present invention relates to the technical field of user recommendation systems, in particular to a personalized place recommendation method that combines multiple context information. Background technique [0002] Personalized location recommendation can provide people with good location-based services. Existing methods have achieved certain recommendation effects in location recommendation, but there are still some shortcomings: First, the collaborative algorithm only uses the user's check-in location However, due to the sparsity of the user's check-in location, the search of adjacent users is not accurate enough, and the recommendation accuracy is poor; secondly, when calculating the probability of a user's visit to a candidate location under the influence of spatial distance in the existing theory, all All the check-in location information of the user does not take into account the individual factor of the travel distance difference of differen...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 方芳余列冰刘袁缘郭明强余亚芳
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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