Advanced New Technologies Co., Ltd. (Grand Cayman, KY)

This specification describes methods of checking the location of an entity. One method is to identify the location information of the particular entity; and then determining, based upon the location information, a candidate entity set comprising a variety of candidates, in which every candidate entity is distinct from the entity in question, and wherein the set of candidate entities includes an accurate set of candidate entities that satisfy certain criteria for location; sending the candidate entity set along with the criteria for location of the candidate to the specific entity receiving an entity set that includes one or more candidates and determining that the selected entity set includes an amount of candidate entities from the correct set that meet a location verification threshold and, in response, concluding that the selected entity set contains the number of candidate entities in the correct set, which exceeds the location verification threshold in determining whether the location information of the particular entity has been verified.

The Internet has enabled us to offer more services on the Internet. These include electronic commerce, social networks and banking services. To ensure authenticity and security, users typically need to upload certain entity details to verify their identity. For instance, the entity information can include location information, name information, real scene images, etc. For example, verify entity information of the physical store supplied by an e-commerce merchant, and verify the information about an entity of a business given by the user.

The technology currently in use allows the location information and images of real-time to be checked by a human review. For example, a retailer can manually review the location information and images of their physical stores. Another option is to manually review the location information and images of a company provided by the user.

However, in the real world, information about location and real-world scene images are highly complex and varying the authenticity of location information and real scene images of any entity can’t be verified one by one by human scrutiny as such, and verification must be by relying on personal experience. Human review can also be affected by the fact that information about location and images of real scenes can be easily falsified. Thus, the approach in the existing technology that entityinformation is verified through human review based on the combination of information about location and actual scene images is characterised by a very low accuracy. In addition, human review is limited by working hours and the manpower needed, so it is not possible to guarantee the timeliness of.

The application’s implementation allows for verification of the information of entities to increase accuracy.

The present application implements an apparatus for verifying the information of an entity. This increases the accuracy of verifying entity data.

These technological solutions can be utilized to implement the current application.

Methods for verifying entity information include the sending of location information by a user to determine; determining, using the location information, whether the candidate entity’s the location relationship with an entity that meets predetermined conditions; verifying entity information based on a result of the user finding out information about the candidate entity that matches with the entity setunder predetermined verification conditions.

The apparatus for confirming entity information comprises one determining unit, a second determining unit and a verification device, where the first determining unit is designed to identify the location information contained in entity information sent bya user. The second determining unit is able to determine, using the information about location, an entity set whose location relationship with the entity satisfies an established condition, if the entity set that is being considered as a candidate does not contain the entity; The verification unit is set up to validate the information about the entity based on a result of determining, by the user, details about the candidate entity set that match the set of candidate entities under the predetermined verification conditions.

The at least one technical solution that is used in the implementations of the present application could have the following benefits: The candidate entity set which’s location relation to the entity meets the predetermined requirement, and does not contain the entity’s location based on the location information that is provided by the user. Verification is based on the outcome of determining by the user, the candidate entity information that corresponds to the candidate entity set, based on the predetermined verification requirement. The current technology faces a problem with verification accuracy. Since the authenticity of information about entities is determined subjectively by humans, the current solution does not rely on the entities. Instead, authenticity is determined objectively based on the knowledge of the user about the surrounding environment around the particular entity. This increases the accuracy of verification. The solution proposed here can cut down or even the need for human review and improves the speed of verification procedures.

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