Point-of-interest recommendation

A method for recommending a point of interest, the method being applied to a computing device running a point-of-interest recommendation model thereon, wherein the method comprises:

• receiving a point-of-interest recommendation request;
• in response to receiving the point-of-interest recommendation request, determining an environmental state parameter associated with the point-of-interest recommendation request, wherein the environmental state parameter comprises resource occupation information and predictive use information of a candidate point of interest at a time when the point-of-interest recommendation request is initiated;
• processing the environmental state parameter and an identification parameter of the candidate point of interest by utilizing the point-of-interest recommendation model, to obtain a recommended value of the candidate point of interest;
• and
• determining a target point of interest for the point-of-interest recommendation request based on the recommended value of the candidate point of interest;
• wherein the point-of-interest recommendation model is trained by:
• obtaining, by a processor, training data that comprises a plurality of point-of-interest recommendation requests;
• determining, by the processor, initialization parameters of the point-of-interest recommendation model;
• for a first point-of-interest recommendation request among the plurality of point-of-interest recommendation requests, determining, by the processor, a current return for the first point-of-interest recommendation request by utilizing the point-of-interest recommendation model;
• determining, by the processor, based on a second point-of-interest recommendation request among the plurality of point-of-interest recommendation requests initiated after the first point-of-interest recommendation request is completed, a target return for the first point-of-interest recommendation request by utilizing the point-of-interest recommendation model, wherein the first point-of-interest recommendation request is completed when service supply starts to be provided from a point-of-interest corresponding to the first point-of-interest recommendation request;
• and
• adjusting, by the processor, the initialization parameters of the point-of-interest recommendation model based on a difference between the current return and the target return for the first point-of-interest recommendation request, to obtain updated parameters of the point-of-interest recommendation model;
• wherein the determining the target return for the first point-of-interest recommendation request by utilizing the point-of-interest recommendation model comprises:
• determining at least one completed request completed between a first time when the first point-of-interest recommendation request is received and a second time when the second point-of-interest recommendation request is received, wherein the at least one completed request is different from the first point-of-interest recommendation request and the second point-of-interest recommendation request, and the at least one completed request is completed when service supply starts to be provided from at least one point-of-interest corresponding to the at least one completed request;
• determining an instant return for the first point-of-interest recommendation request based on a waiting time of each completed request of the at least one completed request;
• processing an identification parameter of a second target point-of-interest and a second environmental state parameter associated with the second point-of-interest recommendation request by utilizing the point-of-interest recommendation model, to obtain a maximum recommended value for a target point-of-interest for the second point-of-interest recommendation request, wherein the maximum recommended value is determined as a long-run return for the first point-of-interest recommendation request;
• and
• determining the target return for the first point-of-interest recommendation request based on the instant return for the first point-of-interest recommendation request and the long-run return for the first point-of-interest recommendation request.

An electronic device, comprising:

• at least one processor;
• and
• a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and when executed by the at least one processor, the instructions cause the at least one processor to:
• obtain training data that comprises a plurality of point-of-interest recommendation requests;
• determine initialization parameters of the point-of-interest recommendation model;
• for a first point-of-interest recommendation request among the plurality of point-of-interest recommendation requests, determine a current return for the first point-of-interest recommendation request by utilizing the point-of-interest recommendation model;
• determine, based on a second point-of-interest recommendation request among the plurality of point-of-interest recommendation requests initiated after the first point-of-interest recommendation request is completed, a target return for the first point-of-interest recommendation request by utilizing the point-of-interest recommendation model, wherein the first point-of-interest recommendation request is completed when service supply starts to be provided from a point-of-interest corresponding to the first point-of-interest recommendation request;
• and
• adjust the initialization parameters of the point-of-interest recommendation model based on a difference between the current return and the target return for the first point-of-interest recommendation request, to obtain updated parameters of the point-of-interest recommendation model;
• wherein the determining the target return for the first point-of-interest recommendation request by utilizing the point-of-interest recommendation model comprises:
• determining at least one completed request completed between a first time when the first point-of-interest recommendation request is received and a second time when the second point-of-interest recommendation request is received, wherein the at least one completed request is different from the first point-of-interest recommendation request and the second point-of-interest recommendation request, and the at least one completed request is completed when service supply starts to be provided from at least one point-of-interest corresponding to the at least one completed request;
• determining an instant return for the first point-of-interest recommendation request based on a waiting time of each completed request of the at least one completed request;
• processing an identification parameter of a second target point-of-interest and a second environmental state parameter associated with the second point-of-interest recommendation request by utilizing the point-of-interest recommendation model, to obtain a maximum recommended value for a target point-of-interest for the second point-of-interest recommendation request, wherein the maximum recommended value is determined as a long-run return for the first point-of-interest recommendation request;
• and
• determining the target return for the first point-of-interest recommendation request based on the instant return for the first point-of-interest recommendation request and the long-run return for the first point-of-interest recommendation request.