30 results about "Churn rate" patented technology

The invention provides a video recommendation method and apparatus, a storage medium, and a server. The video recommendation method comprises the following steps: obtaining a characteristic value of atarget user; determining a distance between the target user and each cluster in a cluster model according to the characteristic value of the target user to obtain a user category corresponding to thecluster to which the target user belongs; and recommending a video to the target user according to the user category. By adoption of the video recommendation method and apparatus provided by the invention, the purpose of personalized recommendation can be achieved, the click rate of the recommended video is improved, and the user churn rate is reduced.

Embodiments presented herein include systems and methods for performing dynamic difficulty adjustment. Further, embodiments disclosed herein perform dynamic difficulty adjustment using processes thatmay not be detectable or are more difficult to detect by users compared to static and/or existing difficulty adjustment processes. In some embodiments, historical user information utilized by a machine learning system to generate a prediction model that predicts an expected duration of game play, such as for example, an expected churn rate, a retention rate, the length of time a user is expected to play the game, or an indication of the user's expected game play time relative to a historical set of users who have previously played the game. Before or during game play, the prediction model canbe applied to information about the user to predict the user's expected duration of game play. Based on the expected duration, in some embodiments, the system may then utilize a mapping data repository to determine how to dynamically adjust the difficulty of the game, such as, for example, changing the values of one or more gameplay parameters to make portions of the game less difficult.

The invention discloses a system for realizing emotion detection and service guidance based on an emotion detection technology, and a method thereof. The system comprises a telephone switching network and an access telephone switching network, various existing gateways and platforms for completing different functions, and an emotion detection and service guidance platform which is innovatively arranged for completing the emotion detection, counting and transmitting emotion detection reports in real time and/or periodically, transmitting an emotion regulation suggestion to a user according to emotion detection results and performing various operations favorable for emotion regulation such as requesting songs, sending multimedia messages or short messages, replacing polyphonic ringtone, replacing mobile phone wallpaper and ringing tones, presenting gifts and recommending WAP links. The service can improve the number of users and reduce the churn rate of the users, promote the development of the products such as wireless music, the short messages, the multimedia messages and the like; and the system can help service users to enrich amusement activities, timely find emotion changes of friends and assist the friends in regulating the emotion, and can help reduce the communication expenses.

Embodiments of systems presented herein may identify users to play a multiplayer video game together using a mapping system and machine learning algorithms to create sets of matchmaking plans for themultiplayer video game that increases player or user retention. Embodiments of systems presented herein can determine the predicted churn rate, or conversely retention rate, of a user waiting to playa video game if the user is matched with one or more additional users in a multiplayer instance of the video game.

The invention provides a loan amount evaluation method and a device. The method comprises the steps of establishing a credit scoring model and a churn rate prediction model in advance based on the user data of a communication service provider system; establishing a loan amount evaluation model in advance based on the credit score of a user and the churn rate; respectively acquiring the credit score of the user and the churn rate according to the user data of the loan user based on the credit scoring model and the churn rate prediction model; and evaluating the loan amount of the loan user according to the credit score of the credit user and the churn rate based on the loan amount evaluation model. According to the technical scheme of the loan amount evaluation method and the device, the loan amount can be further evaluated more reasonably. Therefore, the loan risk can be further reduced.

The invention discloses a shopper portrait construction marketing method and system based on viewing big data, and the method comprises the steps: generating a user portrait corresponding to a commodity category and a commodity price according to user viewing data and commodity data; according to the category and price of the to-be-sold commodity, identifying the crowd purchasing through the userportrait; performing commodity marketing on the purchasing crowd through marketing short messages; and analyzing the purchase conversion rate of the commodity according to the commodity marketing result, and optimizing the user portrait. According to the method, the user portrait is depicted according to the user viewing data and the commodity data at the same time, the user portrait accuracy is improved, short message marketing is performed based on the accurate user portrait, the pertinence is high, and the user churn rate is reduced; in addition, the user portrait can be optimized accordingto the marketing result, the accuracy is further improved, and the method can be widely applied to the technical field of big data.

The embodiment of the invention relates to a behavior guidance strategy determination method and device. The method comprises the steps that the conversion rates and conversion values of all contact points on one or more pages or the conversion rates and conversion values of different page contact points in a historical time period are calculated, and the weights of all the contact points are calculated according to the conversion rates and the conversion values; user behavior data in preset time is acquired, and users are grouped according to the weights of the contact points, wherein the user behavioral data belongs to the contact points; according to grouping results, a preset behavior guidance strategy corresponding to the grouping results is executed on the users according to the grouping results. According to the behavior guidance strategy determination method and device, the corresponding behavior guidance strategy is executed on the users through the grouping results, the antipathy emotion, caused by an improper marketing mode, of the users is reduced, then the churn rate of the users is reduced, and the success rate of marketing is improved.

The invention discloses an APP registration and login method and system. The method comprises the following steps: obtaining a communication number for APP registration, and requesting a verificationcode from a corresponding server; receiving a registration verification code sent by the server, wherein the registration verification code is generated by the server based on the request; obtaining the registration verification code for APP registration, and sending a registration request carrying the communication number and the registration verification code to the server; receiving a user account generated by the server according to the sent registration request, and requesting user information corresponding to the user account from the server; and receiving the user information corresponding to the user account returned by the server, and displaying a part of or all information of the user information on a login page of the APP. By adoption of the APP registration and login method andsystem provided by the invention, automatic login can be achieved in the case of registration success, thereby reducing the registration and login steps and reducing the churn rate of blue-collar users using the APP.

The invention provides a UGC information displaying and processing method and device. The UGC information displaying method includes the steps that an information request is sent to a cloud end according to the content selected by a user; related UGC information sent from a plurality of APPs by the cloud end according to the information request is received, aggregation processing is performed on the related UGC information, and the UGC information is displayed in the page of the current APP at a predetermined speed, wherein the APPs comprise the current APP, and the current APP has the functions of a browser. The UGC information displaying and processing method and device can automatically display the complete UGC information from a plurality of discussion sources at a constant speed, allow users to click reminding buttons manually at the current discussion source to load and view the latest UGC information and directly send posting content containing attitude information to participate in discussion, lower the operation cost of the users, improve user experience, and reduce the churn rate.

The application discloses an information predicting method and device. According to one embodiment, the method comprises: operation data of a website are obtained; the operation data are analyzed to obtain a feature vector; and on the basis of the feature vector and a pre-trained churn rate prediction model, a user churn rate of the website is generated. Therefore, accurate prediction of a user churn rate is realized.

An embodiment of the invention provides a mobile subscriber arrears monitoring system which comprises the following parts: a risk-associated matrix acquisition unit which is used to acquire the risk-associated matrix which is an associated matrix between the mobile subscriber communication behavior and the arrear types and is established according to the predetermined rules; a high risk subscriber prediction unit which is used to predict high risk subscribers by analyzing the risk-associated matrix acquired by the risk-associated matrix acquisition unit; and a monitoring unit which is used to monitor the high risk subscribers' communication behaviors predicted by the high risk subscriber prediction unit. The said high risk subscribers refer to those mobile subscribers who have a possibility of getting off net with arrears. The mobile subscriber arrears monitoring system solves the problem of low efficiency in monitoring the high risk subscribers in the prior art, strengthens the business restriction to malicious delinquent subscribers and reduces the mobile subscriber arrears rate and the mobile subscriber churn rate.

The invention provides a customer churn rate prediction method and device, an electronic device and a storage medium, and the method comprises the steps of receiving a customer churn rate prediction request sent by a target bank outlet, wherein the customer churn rate prediction request comprises the basic information of a target customer; on the basis of the basic information of the target customer, obtaining the feature information of each target feature factor in at least one target feature factor from a database of the target bank outlet, wherein the target feature factors are feature factors having influences on the customer churn rate; and inputting the feature information of each target feature factor into a customer churn rate prediction model, so that the customer churn rate prediction model performs customer churn rate prediction according to the feature information of each target feature factor to obtain the customer churn rate of the target customer, wherein the customer churn rate prediction model is obtained by training a DNN neural network by using the feature information of each target feature factor corresponding to each historical customer in the target bank outlet. According to the invention, the accuracy of predicting potential lost customers can be improved.

The embodiment of the invention provides a virtual item compensation method and related equipment, which are used for reducing the expenditure of a live broadcast platform while reducing the churn rate of mistakenly recognized users. The method comprises the following steps: selecting a user group A and a user group B with the same number of users from misrecognition user groups, and performing prop compensation on the users in the user group A; according to the retention information of the users in the user group A and the user group B after the preset duration, performing loss marking on the users in the user group A and the user group B; obtaining the influence difference of the first churn feature on each churn mark in the user group A and the user group B, and obtaining whether the user is compensated or not and the first influence on the user with the first churn feature according to the influence difference; obtaining a second influence of the value of the first churn feature on user churn; obtaining a loss difference degree indicating whether the target user is compensated or not; and if the loss difference degree is greater than a loss abnormity degree threshold value, determining to perform virtual item compensation on the target user.

The embodiment of the invention provides an application login method and device, a user terminal and a storage medium, and relates to the technical field of process optimization, and the method comprises the steps: obtaining a first login credential from a server through a first function page, and obtaining a second function page from the server through the first login credential; when a touch operation on a specific control included in the second function page is detected, encrypting the first login credential, splicing according to the encrypted data and the quick login identifier to obtain spliced data, writing the spliced data into the clipboard, and downloading and installing the target application; and when a starting operation on the target application is detected, reading the spliced data from the clipboard to obtain encrypted data, obtaining the second login credential from the server by using the encrypted data, and accessing the server by using the second login credential in the target application. By adopting the method and the device, the user churn rate can be reduced in the process of switching different product forms. The invention relates to a block chain technology, for example, a target application is a block chain application.

The invention provides a customer churn rate early warning method and device, relates to the technical field of network security, can also be used in the financial field, and comprises the steps: determining a customer churn probability according to the transaction level of a customer and a preset customer churn probability calculation model; the transaction level is determined by the number of historical transactions and the amount of historical transactions; determining a loss possibility level of the customer according to a preset customer loss function and the customer loss probability; and performing customer loss rate early warning according to the loss possibility level and a predetermined customer value level. According to the invention, the loss behavior of the customer can be early warned according to the historical transaction condition of the customer.

The invention discloses an agent electric quantity prediction method and device, equipment and a medium, and relates to the technical field of power systems, and the method comprises the steps: determining target monthly agent electric quantity which does not consider user loss and corresponds to a first historical month based on a first loss rate of the first historical month and historical monthly agent electric quantity; decomposing the target monthly agent electric quantity to obtain a plurality of load components, predicting each load component according to a preset rule to obtain a predicted load component of the target month, and obtaining reconstructed target monthly agent electric quantity based on all the predicted load components; and constructing a target user churn rate model, predicting a second churn rate of the target month by using the target user churn rate model, and determining predicted monthly agent electric quantity considering user churn corresponding to the target month based on the second churn rate and the reconstructed target monthly agent electric quantity. Through the technical scheme of the invention, the prediction precision of the power grid enterprise agent electric quantity can be effectively improved.

The invention relates to a user strategy adjustment method and device, electronic equipment and a computer readable medium. The method comprises the steps of obtaining user information of a user meeting a preset condition, wherein the user information comprises basic information, behavior information and far-end information; generating a plurality of local feature parameters of the user based on the behavior information; generating a plurality of remote feature parameters of the user based on the remote information; comparing the plurality of local feature parameters, the plurality of far-end feature parameters and a plurality of preset strategies to determine a target strategy; and adjusting the current user strategy of the user based on the target strategy. According to the user strategy adjustment method and device, the electronic equipment and the computer readable medium, the customer churn rate can be reduced, the dynamic enthusiasm of customers can be increased, the user satisfaction degree can be improved, the labor cost can be reduced, and the server resource utilization rate can be improved.