Abstract: Disclosed are a processing method, a device and a storage medium. The processing method is applied to a processing device, including following steps: responding to at least one first response result not meeting the first preset condition; obtaining at least one second response result; and preprocessing at least one first response result and at least one second response result. In the present application, after obtaining the response result, the first response result and the second response result are preprocessed. After obtaining the response result, the accuracy and/or interaction effect of the response result can be improved, thereby improving the user experience.

Abstract: Disclosed are an information processing method and an information processing device. The information processing method is applied to a sending terminal, including following steps: in response to that sharing information is sent to at least one first receiving terminal and at least one second receiving terminal; and in response to that the first receiving terminal does not meet a first preset condition, processing the sharing information according to at least one first preset strategy; and/or in response to that the second receiving terminal does not meet a second preset condition, processing the sharing information according to at least one second preset strategy. In the present application, based on the conditional determination and processing strategies of the receiving terminal, information can be shared between different devices conveniently and quickly, thereby improving the user experience.

Abstract: Disclosed are a processing method, a processing device and a readable storage medium. The method includes: in response to the first device performing a first operation, outputting at least one first processing information; receiving and processing second processing information to obtain at least one feedback result, the second processing information is obtained by the at least one second device performing corresponding processing based on the first processing information; and outputting the feedback result to the second device.

Abstract: This disclosure discloses a method and apparatus for generating a machine learning model.

Abstract: This disclosure discloses a method and apparatus for generating a machine learning model.

Abstract: The present disclosure discloses a big data based cross-domain recommendation method and apparatus. Correlation between domains and correlation between user behavior characteristics are obtained by connection and cross analysis of a user's online input and offline behaviors in different domains, and content is recommended to the user according to the established correlation. The technical solution of the present disclosure is applied to the precise consumer brand recommendation to users and the precise positioning of potential consumer brand customers in the Internet+retail area. The technical solution can solve a series of problems, such as cross-drainage of users in multiple domains, precise marketing and precise positioning of potential customers, and the effect is very obvious. From the offline simulation test and online real consumption test, the brand recommendation and user positioning accuracy is largely improved, while the GMV of the offline retail is largely improved.

Abstract: The present disclosure discloses a big data based cross-domain recommendation method and apparatus. Correlation between domains and correlation between user behavior characteristics are obtained by connection and cross analysis of a user's online input and offline behaviors in different domains, and content is recommended to the user according to the established correlation. The technical solution of the present disclosure is applied to the precise consumer brand recommendation to users and the precise positioning of potential consumer brand customers in the Internet+retail area. The technical solution can solve a series of problems, such as cross-drainage of users in multiple domains, precise marketing and precise positioning of potential customers, and the effect is very obvious. From the offline simulation test and online real consumption test, the brand recommendation and user positioning accuracy is largely improved, while the GMV of the offline retail is largely improved.

Abstract: A router has a shape graph that is a compressed form of a trie that represents routing information for routing data packets in a network, and an update data structure that includes plural entries corresponding to nodes of the shape graph, the plural entries containing count values indicating respective numbers of nodes of the tie represented by the corresponding nodes of the shape graph. The router incrementally updates the shape graph as a portion of the routing information changes, where the incremental updating uses information in the update data structure.

Abstract: A method and apparatus for predicting based on multi-source heterogeneous data. The method comprises: acquiring, with regard to an event of a set type, at least two types of historical data that can reflect an event result; establishing a joint likelihood model of attribute data of the event of the set type and the historical data; determining an optimal estimation of the attribute data according to a maximum posterior principle; and determining, based on a probability distribution associated with the attribute data in the joint likelihood model, a parameter in the probability distribution as a prediction result of a predicted event of the set type. Some embodiments use a hierarchical model to introduce data of different sources into different data layers, unify heterogeneous data in a joint likelihood model to perform analysis, and obtain a more accurate, instant and stable prediction result through effective fusion.

Abstract: A method and apparatus for predicting based on multi-source heterogeneous data. The method comprises: acquiring, with regard to an event of a set type, at least two types of historical data that can reflect an event result; establishing a joint likelihood model of attribute data of the event of the set type and the historical data; determining an optimal estimation of the attribute data according to a maximum posterior principle; and determining, based on a probability distribution associated with the attribute data in the joint likelihood model, a parameter in the probability distribution as a prediction result of a predicted event of the set type. Some embodiments use a hierarchical model to introduce data of different sources into different data layers, unify heterogeneous data in a joint likelihood model to perform analysis, and obtain a more accurate, instant and stable prediction result through effective fusion.

Abstract: A router has a shape graph that is a compressed form of a trie that represents routing information for routing data packets in a network, and an update data structure that includes plural entries corresponding to nodes of the shape graph, the plural entries containing count values indicating respective numbers of nodes of the tie represented by the corresponding nodes of the shape graph. The router incrementally updates the shape graph as a portion of the routing information changes, where the incremental updating uses information in the update data structure.

Abstract: The present invention is directed to a sequence dependent polynucleotide nanomechanical device based on a nucleic acid paranemic crossover (PX) molecule which is a four-stranded structure related to parallel double crossover molecules, except that every possible crossover takes place. Eliminating two crossovers leads to a topoisomer, termed JX2, in which one pair of ends are switched (rotated 180°) while the other pair of ends remain the same. The device can be cycled between the two states, PX and JX2, by replacing single strands that set the state to be PX or JX2.

Abstract: A method for printing a microarray on a substrate having a substrate surface is provided. At least one probe reservoir and at least one capillary bundle comprising a plurality of individual capillaries is provided. The output ends of the individual capillaries are secured in a print head such that the output ends of the capillaries are substantially coplanar in an array in a facet of the print head. The capillaries have a capillary pitch P. Probe is transported from at least one probe reservoir to the output ends of the capillaries. An array of probes are printed on the substrate such that the printed probes have a probe pitch of approximately P/N where N is an integer greater than one. Also provided is a method of associating proximal and distal ends of a plurality of capillaries in a capillary bundle. A plurality of fluids are loaded into the distal ends of the plurality of capillaries, each capillary having a unique fluid being loaded therein.

Abstract: The present invention is directed to a sequence dependent polynucleotide nanomechanical device based on a nucleic acid paranemic crossover (PX) molecule which is a four-stranded structure related to parallel double crossover molecules, except that every possible crossover takes place. Eliminating two crossovers leads to a topoisomer, termed JX2, in which one pair of ends are switched (rotated 180°) while the other pair of ends remain the same. The device can be cycled between the two states, PX and JX2, by replacing single strands that set the state to be PX or JX2.