Abstract:
An address search method and device, includes acquiring address search request information, determining to-be-found destination address information included in the address search request information, splitting the destination address information into at least one piece of sub-address information, where the destination address information is formed by multiple pieces of sub-address information, and the multiple pieces of sub-address information respectively correspond to different address types, matching the at least one piece of sub-address information or the at least one piece of sub-address information and the destination address information with different address information included in an address database, where each piece of address information stored in the address database includes different sub-address information that forms the address information, and setting address information that is obtained by matching and whose match degree is greater than a set threshold as found destination address information for output.
Abstract:
An address search method and device, includes acquiring address search request information, determining to-be-found destination address information included in the address search request information, splitting the destination address information into at least one piece of sub-address information, where the destination address information is formed by multiple pieces of sub-address information, and the multiple pieces of sub-address information respectively correspond to different address types, matching the at least one piece of sub-address information or the at least one piece of sub-address information and the destination address information with different address information included in an address database, where each piece of address information stored in the address database includes different sub-address information that forms the address information, and setting address information that is obtained by matching and whose match degree is greater than a set threshold as found destination address information for output.
Abstract:
An information recommendation method and apparatus are provided. The method includes: acquiring, by using an open interface of a first network platform, relational data information of a user associated with a user of a second network platform; dividing, according to the relational data information of the user, each friendship circle obtained by dividing according to a preset division policy, so as to divide one friendship circle into a plurality of different social circles; and recommending, by using a preset recommendation policy, information in each of the social circles according to an acquired behavior record of each user on the second network platform. The embodiments of the present invention further provide an information recommendation apparatus. In the embodiments, information can be recommended by using an interface and user data that are open on a social website to increase accuracy of information recommendation.
Abstract:
An address search method and device, includes acquiring address search request information, determining to-be-found destination address information included in the address search request information, splitting the destination address information into at least one piece of sub-address information, where the destination address information is formed by multiple pieces of sub-address information, and the multiple pieces of sub-address information respectively correspond to different address types, matching the at least one piece of sub-address information or the at least one piece of sub-address information and the destination address information with different address information included in an address database, where each piece of address information stored in the address database includes different sub-address information that forms the address information, and setting address information that is obtained by matching and whose match degree is greater than a set threshold as found destination address information for output.
Abstract:
An information recommendation method and apparatus are provided. The method includes: acquiring, by using an open interface of a first network platform, relational data information of a user associated with a user of a second network platform; dividing, according to the relational data information of the user, each friendship circle obtained by dividing according to a preset division policy, so as to divide one friendship circle into a plurality of different social circles; and recommending, by using a preset recommendation policy, information in each of the social circles according to an acquired behavior record of each user on the second network platform. The embodiments of the present invention further provide an information recommendation apparatus. In the embodiments, information can be recommended by using an interface and user data that are open on a social website to increase accuracy of information recommendation.
Abstract:
Embodiments of the present invention provide an open application programming interface selection method and device. The method includes: receiving an invocation request from a user, where the invocation request includes an OpenAPI function parameter; determining an OpenAPI equivalent set according to the OpenAPI function parameter; and selecting a target OpenAPI from multiple OpenAPIs according to a Qos attribute value that corresponds to each OpenAPI in the OpenAPI equivalent set. By adopting the embodiments of the present invention, an OpenAPI with better performance can be selected from numerous OpenAPIs with equivalent functions for a user, thereby improving the quality of service for the user.
Abstract:
An information recommendation processing method and apparatus, where the method includes: acquiring an information set, where the information set includes multiple pieces of to-be-recommended information, and the to-be-recommended information includes a time stamp that is used to identify generation time of the to-be-recommended information; dividing, according to information about an information recommendation time range and the time stamps corresponding to the multiple pieces of to-be-recommended information, the multiple pieces of to-be-recommended information in the information set into to-be-recommended information within the range and to-be-recommended information out of the range; and determining, among the to-be-recommended information within the range, to-be-recommended information used for recommendation. In this case, a time stamp of the information is taken into consideration for information recommended to the user, thereby achieving high timeliness of the information recommended to the user.