POI recommendation system and method for space-time semantic interval perception under self-attention

A technology of spatiotemporal semantics and recommendation methods, applied in the field of recommendation, can solve problems such as the impact of recommendation effects

Active Publication Date: 2021-01-08
NORTHEASTERN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

Even if POIs have the same check-in order, POIs with shorter time intervals will have a greater impact on recommendation performance

Method used

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  • POI recommendation system and method for space-time semantic interval perception under self-attention
  • POI recommendation system and method for space-time semantic interval perception under self-attention
  • POI recommendation system and method for space-time semantic interval perception under self-attention

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Embodiment Construction

[0072] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0073] On the one hand, a POI recommender system with spatio-temporal semantic interval awareness under self-attention, such as figure 1 As shown, it includes a data collection and cleaning module, a personalized time interval module, a personalized spatial interval module, a semantic correlation calculation module, a spatiotemporal semantic interval-aware self-attention module, and a POI recommendation module;

[0074] The data collection and cleaning module is used to collect and clean location-based social network data, that is, the user check-in data set of a social networking site, including user information and POI check-in information, which are stored after data cl...

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Abstract

The invention provides a POI recommendation system and method for space-time semantic interval perception under self-attention, and relates to the technical field of recommendation. The system comprises a data acquisition cleaning module, a personalized time interval module, a personalized space interval module, a semantic correlation calculation module, a space-time semantic interval perception self-attention module and a POI recommendation module. A user interaction sequence is modeled into a sequence with different time intervals, the absolute position of user sign-in data is considered, and meanwhile the different time intervals are brought into a recommendation system; based on the historical sign-in data of the users, the dynamic preferences of the users are effectively captured by considering the time interval, the space interval and the semantic correlation between the sign-in data, the places to which the users can go in the next step are reasonably recommended to the users, and the recommendation accuracy is improved.

Description

technical field [0001] The present invention relates to the technical field of recommendation, in particular to a POI recommendation system and method based on self-attention-based space-time semantic interval perception. Background technique [0002] With the rapid development of positioning technology and the popularity of smart phones, social network services have been greatly enhanced. More and more people use online social networks through smart phones. Users can share their current location, pictures, audio, Videos and trajectories have produced many location-based social networks (Location Based SocialNetworks, LBSNs), such as Foursquare, Gowalla, and Yelp. In LBSNs, users record their location and spatial information in the form of check-in through mobile devices, and share their comments and experiences on related POIs (Point Of Interest) such as tourist attractions, museums, libraries, restaurants, etc. The so-called check-in means that the system of the mobile de...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9536G06F16/9537G06F16/9535G06N3/04G06N3/08
CPCG06F16/9536G06F16/9537G06F16/9535G06N3/08G06N3/044
Inventor 于亚新吴晓露包健王亚龙
Owner NORTHEASTERN UNIV
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