7 results about "Target groups" patented technology

To provide technology that allows for the prediction of how effective a promotional campaign will be for different target groups. [Solution] The policy result acquisition unit 51 performs a process to acquire information obtained as a result of the implementation of a promotional policy targeting at least one of doctors or patients, as policy result information for each of the one or more policies. The policy effect prediction unit 52 performs a process to predict the policy effect based on the policy result information for each of the one or more policies acquired by the policy result acquisition unit 51. For a predetermined policy among the one or more policies, the policy result acquisition unit 51 takes the time when the policy is implemented after improvement considerations have been made based on the prediction of the previous policy effect as the current time, and performs a process to acquire the information obtained as a result of the current implementation as the policy result information for the current time. The policy effect prediction unit 52 then performs a process to predict the policy effect of the predetermined policy for the current time based on the policy result information for the current time.

A method for facilitating an action of a target group and a system thereof are provided. In one embodiment, the method is a computer-implemented method for performing operations to facilitate a target group to read an identifier with a device. In one embodiment, the method comprises the steps of: a) reading and verifying the validity of the identifier associated with a particular data category, where the identifier triggers data processing hardware to receive input data unique to the identifier; and b) providing an output R paired with the particular data category, where the output has a sufficient value to trigger the target group to repeat step (a) in the presence of another identifier.

The invention provides a content recommendation method and device, equipment and a storage medium, and relates to the technical field of computers, in particular to the technical field of intelligent recommendation. According to the specific implementation scheme, candidate media content is determined from media content to be recommended; wherein a target group index of the candidate media content is greater than a preset index threshold, and the target group index is obtained based on content features of the media content and interaction features of a target group; performing priority ranking on the candidate media contents based on the interaction characteristics of each candidate media content to obtain a first ranking result; and determining target media content recommended to a target user from the candidate media content by using the first sorting result, the target user belonging to the target group. According to the method, the comment participation rate of the target user can be improved, the accuracy and efficiency of content distribution are optimized, and the user experience is also improved.

This invention belongs to the field of online public opinion dissemination, and specifically relates to a rumor information control method based on evolutionary game theory and multi-state analysis. It acquires data sources and extracts internal factors, external factors, and message influence that affect rumor dissemination from these sources. Internal factors include user activity and user sensitivity; external factors include topic popularity and friend referral power; and message influence includes the influence of rumor messages and the influence of doubtful rumors. Based on the payoff function of message influence in terms of users believing and forwarding rumor information versus believing and forwarding doubtful rumors, evolutionary game theory is used to obtain the driving forces behind user participation in the dissemination of rumor messages and the behavioral driving forces behind user participation in the dissemination of doubtful rumors. A control system is constructed, and the optimal conversion rate of the control strategy to transform the target group into a specified group per unit time is calculated. This invention accurately describes the multi-state user rumor dissemination process in social networks and provides a theoretical basis for rumor control.

We provide the system. [Solution] A device for receiving and analyzing characteristic information of the target population, A device that uses a generative model based on analyzed target group information to generate advertising concepts related to the aforementioned target group, A terminal device equipped with an interface for displaying the generated advertising concept, A system that includes this.

This invention belongs to the field of big data processing, specifically relating to a method for updating advertisements on an advertising delivery device. It includes the following steps: Step 1: Obtain the feature data of the currently playing advertisement. Step 2: Obtain feedback data from each user regarding the advertisement playback. Step 3: Based on the keyword dataset, audio stream data, video stream data, and SW value obtained in the first two steps, calculate the user's approval rating value E for the current advertisement. n Step 4: Update the ad playback sequence table according to the following rules: Sort the average approval rating results of each ad in all played ad sequences within an update cycle; delete the ads ranked lower in the rating ranking table, and add the ads that need to be added to the ad playback sequence table. This invention solves the problem that existing ad delivery devices cannot obtain user feedback on the delivered ads, and cannot adjust the ad playback order based on feedback from the target group.

The application discloses a kind of processing method, device and electronic equipment of social group.It relates to the field of financial technology or other fields, and the method comprises: receiving the request instruction triggered by target object, wherein the request instruction is used to request to establish target group;Based on the request instruction, the historical chat information of the current social group to which the target object belongs is obtained;The first processing is carried out on the historical chat information, the association degree of the target object and other objects in the current social group is determined, and a plurality of association degree values are obtained;The second processing is carried out on the historical chat information, and the credibility value corresponding to the target object is obtained;According to a plurality of association degree values, credibility value and current social group, target group is established.The application solves the technical problem of low processing efficiency in the process of processing social group in the prior art.