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Interest point prediction method based on spatio-temporal point process

A prediction method and technology of points of interest, applied in the field of data mining and recommendation, can solve the problems of difficulty in further improving the accuracy rate and the inability to make full use of user temporal context and spatial context information, and achieve the effect of improving the effect.

Active Publication Date: 2020-01-17
HANGZHOU DIANZI UNIV
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Problems solved by technology

[0003] However, in the field of point of interest prediction, traditional methods usually cannot make full use of the user's check-in sequence, temporal context and spatial context information, and it is difficult to further improve the accuracy and meet the real-time needs of users.

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  • Interest point prediction method based on spatio-temporal point process
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  • Interest point prediction method based on spatio-temporal point process

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Embodiment Construction

[0033] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0034] The present invention is based on the point of interest prediction algorithm of spatiotemporal point process and comprises the following steps:

[0035] (1) Collect sign-in data of all users The check-in data of each user is the user's check-in sequence for Point of Interest (POI) where p i , t i and c i are POI, check-in time and context respectively, c i Include temporal context vector and the spatial context vector The time context vector is the 6-dimensional access time segment vector () of the POI, the spatial context vector is the 2-dimensional geographic location vector () of the corresponding POI, and the user Sets, POI sets, and context sets are denoted as U, P, and C, respectively.

[0036] (2) According to user u i Check-in ...

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Abstract

The invention discloses an interest point prediction method based on a spatio-temporal point process. The interest point prediction method comprises the steps of S1, realizing spatio-temporal contextinformation integration and user sign-in sequence modeling based on the point process; S2, predicting user interests based on a spatio-temporal point process; and S3, realizing spatio-temporal contextand sequence perception prediction. According to the method, the behavior mode and interest of the user are extracted from the sign-in sequence of the user by using the spatio-temporal point process,the context interest of the user is predicted by combining the time-space context, and finally, the general interest and context interest of the user are comprehensively considered, so that the prediction effect is improved and the accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of data mining and recommendation, and in particular relates to a point-of-interest prediction method based on a spatio-temporal point process. Background technique [0002] With the development of information technology, users encounter the problem of information overload while enjoying convenient information and services, making it difficult to find relevant or interesting content from massive online data. The recommendation system can actively mine the potential interests of users based on the user's historical records and help users find relevant content from massive online data to meet user needs and reduce the cost of information acquisition. Predicting user behavior is one of the keys to realizing a personalized recommendation system. [0003] However, in the field of point of interest prediction, traditional methods usually cannot make full use of the user's check-in sequence, temporal context and sp...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06F16/9537G06F16/2458
CPCG06F16/2474G06F16/9535G06F16/9537
Inventor 王东京张新俞东进张剑清
Owner HANGZHOU DIANZI UNIV
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