Advertisement putting method and system based on groups interested in directional house property

Abstract

The invention relates to an advertisement putting method and system based on groups interested in directional house property. The method includes establishing a building information database, and displaying house attributed on a map according to a building geographical location; based on group Internet-surfing behavior analysis, establishing a group interest database, and performing screening search on user interests; associating the building information database with the group interest database, and showing on the map; building a thermodynamic diagram of a user building interest database displayed on the map, and searching or screening attention groups corresponding to buildings with designated features; and performing accurate putting of building advertisements according to the interested groups by an advertisement putting system. Access tracks of groups are analyzed and classified, user interest preference is obtained, and general user portraits of users are judged, groups interested in house property are obtained and are displayed on the map in the form of the thermodynamic diagram, thereby realizing accurate positioning of users interested in different buildings, and completing accurate pushing of building advertisements according to classifications to users with different interest.

Description

technical field [0001] The invention relates to the technical field of database management, in particular to an advertisement delivery method and system based on targeted real estate interest groups. Background technique [0002] In the existing technical field of Internet industry advertising, there are generally labels that are divided into major industry classifications and first-level sub-categories. Internet advertising in this classification is generally for a certain industry category or for a certain industry category. Sub-categories are used to deliver advertisements, and the coverage of advertisements is mainly in the technical field. The existing Internet advertisement delivery system has at least the following problems: [0003] One is that the classification is rough, and it is impossible to find the most suitable users for the product. Since there are many types of users in a classification, the attention to a certain type of advertisement is also inconsistent,...

AI Technical Summary

Problems solved by technology

[0003] One is that the classification is rough, and it is impossible to find the most suitable users for the product. Since there are many types of users in a classification, the attention to a certain type of advertisement is also inconsistent, which may lead to a large number of invalid advertisements;

[0004] The second is that it is impossible to subjectively see where the customers are, and has no concept of how many levels of portraits the interested users have, and cannot truly understand the advertising interests of users in a certain field;

[0005] Third, it is impossible to intuitively find users of competing products or similar products, and the analysis and positioning of users is not accurate

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