Method and device for optimizing advertisement delivery effect by combining user groups and pre-delivery
The invention provides a method and a device for optimizing advertisement delivery effect by combining user groups and pre-delivery. The method includes: acquiring network access data corresponding to user IDs (identities); binding corresponding relations of the user IDs and the network access data; on the basis of an expert database, mining and analyzing the network access data to obtain user attribute information corresponding to the user IDs; on the basis of the user attribute information, setting up multiple user groups; when new advertisement delivery is needed, selecting specific user IDs from each user group, and then performing advertisement pre-delivery for the selected specific user IDs; collecting advertisement pre-delivery effects, and performing data mining and analysis for the advertisement pre-delivery effects to obtain advertisement delivery guide information; and delivering advertisements according to the advertisement delivery guide information. By the method, accuracy of advertisement delivery can be improved effectively. 1. A combination usergroup and pre-in method for optimizing the effect of advertisement delivery, characterized in that comprises the following steps: S1, acquisition and each user ID are respectively the corresponding network access to the data; S2, binding said user access to the data with the network ID of the corresponding relations; S3, based on a pool of experts to the excavation for the network access data analysis, with the user ID corresponding to the user attribute information; S4, based on the user attribute information, establishing a plurality of user-group; wherein each user group is formed by a plurality of user ID ;, group belonging to the same user ID of each user with the same user attribute information; S5, when the needs of the new advertisement, each of the first, from a selection of the particular user group of the user ID, then the selected one of said specific user ID to carry out the advertisement pre-allocate; S6, collecting advertisement pre-releasing effect, through the pre-launching effect of the advertisement data mining analysis, advertising input guidance information is obtained; S7, guidance information according to the advertisement in the advertisement. 2. Combining usergroup and the pre-delivery method for optimizing the effect of advertisement delivery according to Claim 1, characterized in that S3 in, the user attribute information includes user's preference information, user age information, user gender information, user income information and the user's online habits information. 3. Combining usergroup and the pre-delivery method for optimizing the effect of advertisement delivery according to Claim 1, characterized in that S5 in, each of said user group from a selection of the particular user ID in particular to: from each of the in the user group to select the specific user ID at random. 4. Combining usergroup and the pre-delivery method for optimizing the effect of advertisement delivery according to Claim 1, characterized in that S6 in, the pre-launching effect of the advertisement include: the release of the users and the delivery of the advertisement of the advertisement is displayed for a long. 5. Combining usergroup and the pre-delivery method for optimizing the effect of advertisement delivery according to Claim 1, characterized in that S6 in, the guidance information includes advertisement delivery: of the advertisement for the best user group information, the advertisement for the best delivery time information. 6. A combined user group with an advertisement effect pre-in optimization device, characterized in that comprises: Data acquisition module, used for gathering and respectively corresponding to each user ID of the network access to the data; Binding module, used for binding said user ID with the data acquisition module to the corresponding relation of network access data; Data mining analysis module, the experts for on the basis of the data acquisition module for collecting network access to the data mining analysis, with the user ID corresponding to the user attribute information; Usergroup establishing module, for based on the data mining analysis module can obtain the user attribute information, establishing a plurality of user-group; wherein each user group is formed by a plurality of user ID ;, group belonging to the same user ID of each user with the same user attribute information; Advertisement delivery module, used for the advertisement of the new, each of the first, from a selection of the particular user group of the user ID, then the selected one of said specific user ID to carry out the advertisement pre-allocate; is also used for: collecting advertisement pre-releasing effect, and the collected the advertisement pre-releasing effect transmission to the data mining analysis module, by the data mining analysis module to the advertisement pre-launching effect data mining analysis, advertising input guidance information obtained; the advertisement delivery module is also used for: according to the data mining analysis module to obtain guiding information of the advertisement in the advertisement. 7. Combining user's group with an advertisement effect pre-in optimization device according to Claim 6, characterized in that the user attribute information includes user's preference information, user age information, user gender information, user income information and the user's online habits information. 8. Combining user's group with an advertisement effect pre-in optimization device according to Claim 6, characterized in that the module is also used for advertisement delivery: from each of the in the user group to select the specific user ID at random. 9. Combining user's group with an advertisement effect pre-in optimization device according to Claim 6, characterized in that the module for collecting the advertisement of the advertisement pre-releasing effect including: delivering advertisement of the advertisement of the users and when in a show. 10. Combining user's group with an advertisement effect pre-in optimization device according to Claim 6, characterized in that the data mining analysis module of the guidance information includes the advertisement delivery: of the advertisement for the best user group information, the advertisement for the best delivery time information.