Information processing device, information processing method, and program

Abstract

To provide an information processing device, an information processing method, and a program that can estimate a reference location such as the user's residence. [Solution] An information processing device comprising: an acquisition unit that acquires a predetermined number of payment histories of electronic payments made by a user at a merchant affiliated with an electronic payment service; a clustering unit that clusters the predetermined number of payment histories; and an estimation unit that estimates a cluster indicating the user's reference position among the one or more clusters by inputting cluster information relating to one or more clusters obtained by the clustering into a trained model.

Claims

[Claim 1] An acquisition unit that acquires a predetermined number of payment histories of electronic payments made by users at merchants participating in the electronic payment service, A clustering unit that clusters the predetermined number of payment histories, The system includes an estimation unit that estimates the cluster representing the user's reference position among the multiple clusters obtained by the aforementioned clustering by inputting cluster information relating to the multiple clusters into a trained model, The cluster information includes inter-cluster ranking information that ranks the multiple clusters with respect to the payments included in the payment history. The aforementioned inter-cluster ranking information includes ranking information obtained by ranking multiple clusters such that the higher the total number or amount of transactions included in the payment history, the higher the ranking. The aforementioned trained model is trained such that clusters with higher rankings are more likely to be output as clusters indicating the user's reference position. Information processing device. [Claim 2] The cluster information includes at least one of the following: location information of the cluster, settlement statistics information relating to the settlement included in the settlement history, and external statistics utilization information obtained by processing external statistics information. The information processing apparatus according to claim 1. [Claim 3] The settlement statistics include the standard deviation of the settlement times included in the settlement history. The information processing apparatus according to claim 2. [Claim 4] The aforementioned external statistical information associates identifiers indicating land use with meshes that subdivide the land, The aforementioned external statistical information is an aggregate of usage purposes associated with the mesh contained in each of the multiple clusters. The information processing apparatus according to claim 2. [Claim 5] The system further includes an output unit that outputs notification information regarding a discrepancy between a reference position registered by the user with the electronic payment service and a reference position indicated by the estimated cluster. The information processing apparatus according to claim 1. [Claim 6] The output unit outputs notification information to the user terminal device of the user in whom the discrepancy is determined to exist, requesting confirmation of the user's reference position. The information processing apparatus according to claim 5. [Claim 7] The output unit outputs a list of users for whom the discrepancy is determined to exist to the administrator terminal device of the electronic payment service. The information processing apparatus according to claim 5. [Claim 8] Computers A predetermined number of payment histories are obtained for electronic payments made by users at merchants participating in the electronic payment service. The predetermined number of payment histories are clustered, By inputting cluster information about multiple clusters obtained through the aforementioned clustering into the trained model, the cluster representing the user's reference location is estimated from among the multiple clusters. The cluster information includes inter-cluster ranking information that ranks the multiple clusters with respect to the payments included in the payment history. The aforementioned inter-cluster ranking information includes ranking information obtained by ranking multiple clusters such that the higher the total number or amount of transactions included in the payment history, the higher the ranking. The aforementioned trained model is trained such that clusters with higher rankings are more likely to be output as clusters indicating the user's reference position. Information processing methods. [Claim 9] On the computer, The electronic payment service provider will obtain a predetermined number of payment histories of electronic payments made by users at participating merchants. The predetermined number of payment histories are clustered, By inputting cluster information about the multiple clusters obtained by the aforementioned clustering into the trained model, the model estimates the cluster that represents the user's reference location among the multiple clusters. The cluster information includes inter-cluster ranking information that ranks the multiple clusters with respect to the payments included in the payment history. The aforementioned inter-cluster ranking information includes ranking information obtained by ranking multiple clusters such that the higher the total number or amount of transactions included in the payment history, the higher the ranking. The aforementioned trained model is trained such that clusters with higher rankings are more likely to be output as clusters indicating the user's reference position. program.

Images