31results about How to "Improve push success rate" patented technology

The invention discloses a method and device for implementing message push by a layered state machine, including a receiving layer, an exchange layer, a routing layer and a consumption layer. First, the receiving layer receives messages from different platforms sent by a server; secondly, Said message received by said receiving layer and said exchange layer run in the same process with two different threads respectively and pass said message to said exchange layer; Then, said exchange layer performs said message The unified format is converted and passed to the routing layer; finally, the routing layer runs on the worker thread, and pushes the received message to the consumer layer running on the UI thread. The division of labor at each level is detailed, and there is no coupling, which improves the compatibility and success rate of message push. This solves the technical problem of the incompatibility of various third-party message push platforms in the prior art, resulting in a low message push delivery rate, and achieves the technical effect of being compatible with multiple push platforms, thereby improving the success rate of message push.

An embodiment of the present invention provides a method for determining a prediction period for pushing predicted content. The method includes: based on a historical push situation of pushing the predicted content to a serviced user equipment, determining that the system energy consumption consumed by pushing the predicted content is related to the need to push the predicted content. The first relationship function of the number of files of the predicted content, and the second relationship function of the push success rate of pushing the predicted content with respect to the number of files, based on the ratio of the first relationship function to the second relationship function, calculate when the ratio is the most The value of the number of files is calculated based on the value of the number of files, and the value of the number of files is positively correlated with the prediction period. The prediction period is used to push the predicted content to the serviced user equipment. The determined prediction period can reduce the system energy consumption consumed by pushing the predicted content to the served user equipment, and at the same time improve the success rate of pushing the predicted content that has been pushed.

The invention provides a card pushing mechanism applied to a printer. The card pushing mechanism comprises a card pushing device, a printing device, a transmission device and a driving device. The card pushing device is used for pushing cards in the first direction. The printing device is used for receiving the cards pushed by the card pushing device, leaving printing marks on the cards and continuing pushing the cards in the first direction. The transmission device comprises a switching set which comprises the card pushing state and the printing state, under the card pushing state, the transmission device drives the card pushing device and the printing device, and under the printing state, the transmission device is disengaged from the card pushing device and drives the printing device. The driving device is connected with the transmission device and used for driving the transmission device. The different states are switched through the switching set, at the card pushing stage, the card pushing device and the printing device are driven simultaneously, the two devices simultaneously work to push the cards jointly, thus the cards are stably pushed into the printing device, and the success probability of card pushing is increased.

The embodiment of the invention provides a filtering method and device for failure data, relates to the technical field of electronic information, and aims to solve the problems that connection is abnormal and interrupted, and error codes cannot be received when the push information is continuously abnormal, and improve the operating efficiency of a terminal for successfully pushing the push information. The method concretely comprises the steps of obtaining complete push information, starting a push thread of the push information, sending the complete push information to user equipment through a second electronic terminal, obtaining abnormal push information, storing the abnormal push information in a temporary queue, judging whether the complete push information is all sent to the user equipment, obtaining the abnormal push information from the temporary queue if all the complete push information is sent to the user equipment, searching the abnormal push information from the complete push information, and filtering the abnormal push information from the complete push information. The method and the device are applied to the processing of failure data during the pushing process of the push information.

Embodiments of the present invention provide a message push method, device, and mobile terminal. The method is applied to a message push system. The system includes a business module, a push service module, a connection management module, an access service module, and a client. The method includes : the push service module receives the push message sent by the business module, and after determining the priority information of the push message, further determines the push sequence of the push message; the push service module pushes the push message according to the push sequence sent to the connection management module; the connection management module obtains the client identifier in the push message according to receiving the push message, and then sends it to the access service module; the access service module according to the The client identification is connected to the client and the push message is sent to the client according to the push order, which solves the problem of information loss caused by time conflict and message congestion of the push message.

The present disclosure provides a data processing method and device, electronic equipment, and a computer-readable storage medium. The method includes: receiving push information and an identification of the push information; determining target push information according to the identification of the push information; The target push message is processed to push information. The technical solutions provided by the embodiments of the present disclosure can improve the success rate of push information reaching the application program.

The invention discloses a customer monitoring and analysis system based on big data, which includes a member login module, a promotion push module, a recording module, a checkout module and a consumption analysis module. The second-level area of ​​branded goods forms a one-way shopping channel to construct a scene for monitoring customer shopping behavior; by obtaining the time of entry and departure of customers in each brand and the first-level area, it is used as the original description of customer shopping behavior Data; after the preliminary analysis of the original data removes the interference factors, the average stay score T is obtained. In order to realize the monitoring of the shopping behavior of customers when shopping in offline supermarkets. The average stay score T is processed and analyzed to obtain the brands and categories of interest. According to the analysis results, the promotion push module is optimized, and then the shopping behavior of customers when shopping in offline supermarkets is analyzed to improve the success rate of push.

The embodiment of the present invention discloses a push model-based activity recommendation method, device, device, and storage medium, wherein the method includes the following steps: generating different types of push models based on a big data platform, and selecting one of a plurality of different types of push models The group target model, as the push logic of the current push activity, finally pushes the activity data to the target user based on the target model, and the target user is the user who matches the push logic of the target model. By adopting the present invention, the activity recommendation can be performed according to the recommendation logic of different types of push models, the success rate of the push can be improved, and at the same time, the occurrence of server load overload caused by a large number of inactive users concurrently entering the APP can be avoided.