WO2018023653A1 - Method for adjusting push technique according to market feedback, and push system - Google Patents

Abstract

The present invention relates to the field of the Internet, and provides a method for adjusting a push technique according to market feedback, and push system. The method comprises: recording tags matching user QQ groups, type tags matching advertisements, and a matching relationship between the tags matching the QQ groups and the type tags matching the advertisements; detecting QQ groups joined by a user; performing, according to the QQ groups joined by the user, a matching operation to obtain tags, performing, according to said tags, a matching operation to obtain advertisement-matching type tags, and performing, according to said advertisement-matching type tags, a matching operation to obtain advertisements; pushing to the user said advertisements matching said tags; reading, by means of cloud data, usage condition data of other users for this technique; and if the number of users turning off said technique exceeds a specific threshold, terminating push of said advertisements matching said tags to the user. The present invention enables advertisement push according to the type of QQ groups joined by a user, thus increasing advertisement delivery precision. In addition, the present invention enables terminating use of the technique when most users choose to stop using the technique.

Description

 Method for adjusting push technology according to market feedback and push system Technical field

 The invention belongs to the field of internet and provides a method for adjusting push technology according to market feedback and a push system.

Background technique

 Artificial Intelligence, English abbreviation AI. It is research, Develop a new technical science for simulating, extending, and extending the theory, methods, techniques, and applications of human intelligence.

The research of artificial intelligence is now at the forefront, but the general research stage. Among them, the research and application of weak artificial intelligence is the most popular. The so-called weak artificial intelligence is embodied in some single and repetitive work. The humans pre-set the relevant rules and trigger conditions through the computer. When the actual situation meets these trigger conditions, the hardware or software system will make stress. A series of reactions.

 In the research and application of weak artificial intelligence, people hope to pass the above-mentioned rules - The way of stress response helps humans deal with repetitive and predictable work. At the same time, it is also hoped that artificial intelligence can identify and learn the value orientation of specific users.

 In my last application "based on user QQ In the method of group push advertisement and push system, a weak artificial intelligence solution is proposed, but the solution is only the 'user requirement' assumed in the research and development stage, and is specific to the specific use, especially for specific individual users. Whether the solution has value or whether it can please a particular individual user is different depending on the individual user.

At the same time, for an untested technology, if the user does not like to close it, it is often very troublesome, the user must debug in the setup menu or options for a long time to close, which will cause operation for specific users. The burden on it.

At the same time, can we consider market feedback and make adjustments? This is often not practical, because a batch of products may be manufactured and sold together in thousands or hundreds of thousands. If you want to evaluate the market first and then adjust a certain technology, time is often not balanced.

In summary, a method is needed to be able to use the product to respond to big data in the cloud, and to adjust the technology in the product in time according to feedback from the market.

technical problem

 Embodiments of the present invention provide a method for adjusting push technology according to market feedback, and the purpose is to In view of the fact that the current QQ advertisement delivery is inaccurate and the appropriate people cannot receive the appropriate advertisement and the user is disgusted, it is necessary to provide a preset user to add QQ. The matching relationship between the group type and the advertisement type, according to the type of QQ group that the user adds, increases the accuracy of the advertisement delivery, and can also terminate the application of the technology when most users disable the technology.

Technical solution

 The present invention is implemented in such a way that a method of adjusting push technology based on market feedback includes the following steps:

 Record the tags matched by the user QQ group, record the type tags and matching of the ads. The matching relationship between the group-matched tag and the type tag that the ad matches;

 Detecting the QQ group added by the user;

 According to the QQ added by the user The group matches the label, matches the type label of the advertisement matching according to the label, and matches the advertisement according to the type label matched by the advertisement;

 Pushing the user of the tag to match the advertisement;

 Read other users' usage of the technology through cloud data;

 When the number of users turning off the technology exceeds a certain threshold, the advertisement that matches the tag is pushed to the user.

 The embodiment of the invention further provides a push system, comprising:

 a recording unit, a detecting unit, a matching unit, a pushing unit, an information feedback unit, and a technical adjustment unit, wherein:

 a recording unit for recording a tag matched by a user QQ group, recording a type tag of the matching of the advertisement, and QQ The matching relationship between the group-matched tag and the type tag that the ad matches;

 a detecting unit, configured to detect a QQ group added by the user;

 The matching unit has an input end connected to the output end of the recording unit and the output end of the detecting unit, respectively, for using the QQ added by the user The group matches the label, matches the type label of the advertisement matching according to the label, and matches the advertisement according to the type label matched by the advertisement;

 a pushing unit, the input end of which is connected to the output of the matching unit, and is configured to push the advertisement matched by the label to the user;

An information feedback unit, whose input end is connected to the output end of the push unit, and is used for reading the usage of the technology by other users through the cloud data;

 a technical adjustment unit, whose input end is connected to the information feedback unit, and is used to terminate when the number of users who turn off the technology exceeds a certain threshold Push the ad that matches the tag to the user.

Beneficial effect

 The invention statistically presets the matching relationship between the QQ group type and the advertisement type added by the user, according to the user's added QQ Group type push ads, increase the accuracy of ad delivery, and also terminate the application of the technology when most users disable the technology.

DRAWINGS

 1 is a schematic flowchart of a method for adjusting a push technology according to market feedback according to an embodiment of the present invention;

 FIG. 2 is a schematic structural diagram of a push system according to an embodiment of the present invention.

Embodiments of the invention

The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

 figure 1 It is a schematic flowchart of a method for adjusting a push technology according to market feedback provided by the embodiment of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown.

 In step S100, the user QQ group matching tag is recorded, and the type tag and QQ of the advertisement matching are recorded. The match between the group-matched label and the type tag that the ad matches.

 In this embodiment, the group matching tag of the 'accounting test' in the user QQ group is recorded as 'exam', and the advertisement 1 is recorded. The matching type tag is 'Exam Ad'.

 In step S101, the QQ group added by the user is detected.

 In step S102, according to the QQ added by the user The group matches the tag, matches the type tag of the ad match according to the tag, and matches the ad according to the type tag of the ad match.

 In step S103, the advertisement matching the tag is pushed to the user.

 When the system detects a QQ group with the name 'Accounting Exam', it sends an advertisement to the group 1 .

 At step S104 In the cloud data to read the use of the technology by other users, when other users turn off or disable the technology, the relevant data will be uploaded to the cloud to save;

 The 'technique' in this embodiment refers specifically to several steps before this step.

 At step S105 In the case that the number of users who turn off the technology exceeds a certain threshold, it indicates that the technology has low market acceptance and belongs to a niche technology with special needs, so the advertisement that matches the label is pushed to the user, if For specific users, turn it on by setting itself .

 The invention statistically presets the matching relationship between the QQ group type and the advertisement type added by the user, according to the user's added QQ Group type push ads, increase the accuracy of ad delivery, and also terminate the application of the technology when most users disable the technology.

 FIG. 2 is a schematic diagram of a push system structure according to an embodiment of the present invention, the push system:

 Recording unit 21, detecting unit 22, matching unit 23, pushing unit 24, information feedback unit 25 , Technical Adjustment Unit 26 , where:

 The recording unit 21 is configured to record a label matched by the user QQ group, and record the type label and QQ of the advertisement matching. The matching relationship between the group-matched tag and the type tag that the ad matches;

 The detecting unit 22 is configured to detect a QQ group added by the user;

 The matching unit 23 has an input end and an output end of the recording unit 21 and a detecting unit 22 respectively. The output connection is used to match the label according to the QQ group added by the user, and the type tag matched by the advertisement is matched according to the label, and the advertisement is matched according to the type label matched by the advertisement;

 Push unit 24, its input end and the matching unit 23 An output connection for pushing an advertisement that matches the label to a user;

 Information feedback unit 25, its input end and the push unit 24 The output connection is used to read other users' usage of the technology through cloud data;

 a technical adjustment unit 26, an input end thereof and the information feedback unit 25 The connection is used to terminate the advertisement that matches the tag to the user when the number of users turning off the technology exceeds a certain threshold.

 The working principle is: the user is in the recording unit 21, records the tag matched by the user QQ group, records the type tag and QQ of the advertisement matching. The matching relationship between the group matching tag and the type tag matched by the advertisement; the detecting unit 22, detecting the QQ group added by the user; and the matching unit 23, according to the QQ added by the user The group matches the label, matches the type label of the advertisement matching according to the label, and matches the advertisement according to the type label matched by the advertisement; the pushing unit 24 pushes the advertisement matching the label to the user, and the information feedback unit 2 The usage of the technology by other users is read by the cloud data; when the number of users turning off the technology exceeds a certain threshold, the technology adjustment unit 26 terminates pushing the advertisements that match the tags to the user.

 The invention statistically presets the matching relationship between the QQ group type and the advertisement type added by the user, according to the user's added QQ Group type push ads, increase the accuracy of ad delivery, and also terminate the application of the technology when most users disable the technology.

The above are only the preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalents, and improvements made within the spirit and scope of the present invention should be included in the scope of the present invention. Inside.

Claims (2)

 A method for adjusting push technology according to market feedback, characterized in that the method comprises the following steps: Record the tags matched by the user QQ group, record the type tags and matching of the ads. The matching relationship between the group-matched tag and the type tag that the ad matches; Detecting the QQ group added by the user; Matching the tag according to the QQ group added by the user, matching the type tag of the advertisement matching according to the tag, and matching the advertisement according to the type tag matched by the advertisement ; Pushing the user of the tag to match the advertisement; Read other users' usage of the technology through cloud data; When the number of users turning off the technology exceeds a certain threshold, the advertisement that matches the tag is pushed to the user. A push system, characterized in that the push system comprises: a recording unit, a detecting unit, a matching unit, a pushing unit, an information feedback unit, and a technical adjustment unit, wherein: a recording unit for recording a tag matched by a user QQ group, recording a type tag of the matching of the advertisement, and QQ The matching relationship between the group-matched tag and the type tag that the ad matches; a detecting unit, configured to detect a QQ group added by the user; The matching unit has an input end connected to the output end of the recording unit and the output end of the detecting unit, respectively, for using the QQ added by the user The group matches the label, matches the type label of the advertisement matching according to the label, and matches the advertisement according to the type label matched by the advertisement; a pushing unit, the input end of which is connected to the output of the matching unit, and is configured to push the advertisement matched by the label to the user; An information feedback unit, whose input end is connected to the output end of the push unit, and is used for reading the usage of the technology by other users through the cloud data; a technical adjustment unit, whose input end is connected to the information feedback unit, and is used to terminate when the number of users who turn off the technology exceeds a certain threshold Push the ad that matches the tag to the user.