An intelligent push method for telecom advertising information based on the Internet

Abstract

The present invention relates to the technical field of advertisement pushing, and discloses an intelligent pushing method for telecommunication advertisement information based on the Internet. By judging the time interval threshold for multiple purchasing time periods generated by users during the purchasing process, adjacent purchasing time periods are merged, and the pushing strategy is optimized according to the types and price information of the materials browsed by the users; the pushing strategy intelligently recommends advertisement materials by calculating the unit price, purchase ratio and correlation of material types of the materials; by comparing the pushing set with the preferences of the target personnel for matching, accurate pushing of targeted advertisements is realized, further improving the advertisement effect; in addition, by analyzing the settlement data of the management personnel, high-unit-price materials that are not suitable for advertisement promotion can be filtered, further optimizing the advertisement pushing strategy.

Description

Technical Field

[0001] The present invention relates to the technical field of advertising push, and specifically relates to an intelligent push method for telecom advertising information based on the Internet. Background Art

[0002] With the rapid development of Internet technology, telecom advertising has become an important part of modern business models; traditional advertising push methods usually rely on some simple user behavior data, such as click-through rate, browsing duration, etc. However, these methods have certain limitations and cannot fully explore users' deep purchase needs and preferences; most existing telecom advertising systems rely on manually set push rules or recommendation algorithms based on users' historical data, but these methods are often too general, resulting in poor advertising push effects; most existing advertising push methods ignore the correlation between users' behaviors and time. Advertising recommendations are usually based on one-time behaviors or browsing data at a certain moment, ignoring the connection between users' browsing patterns and purchase time periods. This makes the pushed advertisements often not match users' current needs, reducing the accuracy of advertisements; especially when multiple people use the same device to purchase materials, the system cannot accurately determine which person is purchasing materials, thus unable to perform accurate advertising push.

[0003] In summary, there is an urgent need for an intelligent push method for telecom advertising information based on the Internet to intelligently push accurate advertisements and improve the relevance and conversion rate of advertisements. Summary of the Invention

[0004] The present invention provides an intelligent push method for telecom advertising information based on the Internet, which helps to solve the problems mentioned in the above background art.

[0005] The present invention provides the following technical solution: an intelligent push method for telecom advertising information based on the Internet, specifically including:

[0006] Set a target device;

[0007] Install procurement software on the target device;

[0008] The procurement software is used for personnel within the organization to purchase materials;

[0009] Only one target device is set within an organization;

[0010] Obtain the personnel with the permission to settle the materials in the target device, denoted as management personnel;

[0011] When a person browses materials through the procurement software on the target device, collect the person's purchase preferences according to the person preference collection strategy, specifically including:

[0012] Obtain the moment when the person opens the procurement software, which is recorded as the first moment;

[0013] Obtain the moment when the procurement software is closed after the first moment and is the closest to the first moment, which is recorded as the second moment;

[0014] The time period between the first moment and the second moment is a procurement time period;

[0015] Obtain all procurement time periods in the above manner;

[0016] Set a time interval threshold;

[0017] The time interval threshold is used to determine whether multiple procurement time periods are merged into one procurement time period.

[0018] Optionally, when a person browses materials through the procurement software on the target device, collect the person's purchase preferences according to the person preference collection strategy, specifically including:

[0019] Select two adjacent procurement time periods in chronological order;

[0020] Obtain the end moment of the previous procurement time period, which is recorded as the auxiliary end moment;

[0021] Obtain the start moment of the next procurement time period, which is recorded as the auxiliary start moment;

[0022] The time period between the auxiliary end moment and the auxiliary start moment is recorded as the auxiliary time period;

[0023] Obtain the duration of the auxiliary time period, which is recorded as the auxiliary duration;

[0024] Compare the auxiliary duration with the time interval threshold;

[0025] If the auxiliary duration ≤ the time interval threshold, then merge these two adjacent procurement time periods into one procurement time period;

[0026] If the auxiliary duration > the time interval threshold, then do not merge these two adjacent procurement time periods into one procurement time period;

[0027] Merge all the procurement time periods that can be merged in the above manner.

[0028] Optionally, when a person browses materials through the procurement software on the target device, collect the person's purchase preferences according to the person preference collection strategy, specifically including:

[0029] Obtain all the merged procurement time periods and record them in chronological order as the first procurement time period, the second procurement time period... the A-th procurement time period, where A refers to the number of the merged procurement time periods;

[0030] For a procurement time period;

[0031] Obtain all types of materials searched by a person during this procurement time period, denoted as the first type, the second type... the Bth type respectively, where B refers to the number of all types of materials searched by the person during this procurement time period;

[0032] For a type, obtain all materials under this type and classify them according to price and purchase ratio. Specifically:

[0033] Select any one type from the first type, the second type... the Bth type, denoted as the target type;

[0034] Obtain all materials under the target type to form a target material set;

[0035] Obtain the orders that successfully purchased the materials in the target material set from all historical orders to form a target order set.

[0036] Optionally, when a person browses materials through a procurement software on a target device, collect the person's purchase preferences according to the person preference collection strategy, specifically including:

[0037] Obtain the unit prices of the materials in the target material set purchased by each order in the target order set, and sort them in ascending order of unit price to form a sequence, denoted as the target sequence;

[0038] Set a first ratio, specifically 10%;

[0039] Set a second ratio, specifically 50%;

[0040] Set a third ratio, specifically 90%;

[0041] The first ratio, the second ratio and the third ratio are used to classify all materials under the target type;

[0042] In ascending order of unit price, obtain the unit price at the first ratio in the target sequence, denoted as the first unit price; obtain the unit price at the second ratio in the target sequence, denoted as the second unit price; obtain the unit price at the third ratio in the target sequence, denoted as the third unit price;

[0043] Obtain the unit prices of all materials in the target material set;

[0044] Among them, the materials with unit price less than the first unit price form a first material set, the materials with unit price between the first unit price and the second unit price form a second material set, the materials with unit price between the second unit price and the third unit price form a third material set, and the commodities with unit price greater than the third unit price form a fourth material set.

[0045] Optionally, when a person browses materials through a procurement software on a target device, collect the person's purchase preferences according to the person preference collection strategy, specifically including:

[0046] Obtain all the materials clicked and browsed by the person to form an auxiliary material set;

[0047] Obtain the intersection of the auxiliary material set and the first material set, denoted as the first auxiliary set; obtain the intersection of the auxiliary material set and the second material set, denoted as the second auxiliary set; obtain the intersection of the auxiliary material set and the third material set, denoted as the third auxiliary set; obtain the intersection of the auxiliary material set and the fourth material set, denoted as the fourth auxiliary set;

[0048] Compare the quantities of materials in the first auxiliary set, the second auxiliary set, the third auxiliary set, and the fourth auxiliary set;

[0049] If the quantity of materials in the first auxiliary set is the largest, select the first material set as the push set; if the quantity of materials in the second auxiliary set is the largest, select the second material set as the push set; if the quantity of materials in the third auxiliary set is the largest, select the third material set as the push set; if the quantity of materials in the fourth auxiliary set is the largest, select the fourth material set as the push set for the target category;

[0050] Through the above method, for each procurement time period, obtain the push sets of the first category, the second category... the Bth category respectively, and store and form a pairing relationship and enter it into the database;

[0051] Each pairing relationship consists of a procurement time period and the corresponding first category, second category... the Bth category and the push sets of the first category, the second category... the Bth category corresponding to this procurement time period.

[0052] Optionally, it includes:

[0053] When a person browses materials through a procurement software on a target device, perform advertisement push on the person according to the push strategy, specifically including:

[0054] Obtain the person who browses materials through the procurement software on the target device, denoted as the target person;

[0055] Obtain the procurement time period of the target person, denoted as the target time period;

[0056] Obtain all the material categories searched by the target person during the target time period, denoted as the first target category, the second target category... the Cth target category respectively, where C refers to the number of all the material categories searched by the target person during the target time period;

[0057] Obtain the push set of the first target category, the push set of the second target category... the push set of the Cth target category according to the personnel preference collection strategy.

[0058] Optionally, when a person browses materials through the procurement software on the target device, perform advertisement push on the person according to the push strategy, specifically including:

[0059] Set the same ratio threshold;

[0060] The same ratio threshold is used to determine whether to perform advertisement promotion on the target person;

[0061] For a pairing relationship in the database;

[0062] Obtain the push set in the pairing relationship, and calculate the similarity rate between the push set in the pairing relationship and the push set of the first target category, the push set of the second target category... the push set of the Cth target category, specifically:

[0063] Obtain the number of push sets in the pairing relationship that are the same as the push set of the first target category, the push set of the second target category... the push set of the Cth target category, and record it as the same number;

[0064] Obtain the number of the push set of the first target category, the push set of the second target category... the push set of the Cth target category, and record it as the total number;

[0065] Calculate the same number ÷ total number, and record the result as the determination ratio;

[0066] Obtain the determination ratio of each pairing relationship in the above manner;

[0067] Obtain the determination ratio of the pairing relationship with the largest number;

[0068] If the determination ratio of the pairing relationship with the largest number ≤ the same ratio threshold, do not perform advertisement promotion on the target person, and at the same time form a pairing relationship between the target time period and the first target category, the second target category... the Cth target category and the push set of the first target category, the push set of the second target category... the push set of the Cth target category and enter it into the database;

[0069] If the determination ratio of the pairing relationship with the largest number > the same ratio threshold, perform advertisement promotion on the target person, specifically:

[0070] Obtain the pairing relationship with the largest determination ratio, and record it as the target relationship;

[0071] Obtain all the materials in all the push sets of the target relationship and form an advertisement set;

[0072] Push the advertisements of the materials in the advertisement set to the target personnel.

[0073] Optionally, it further includes:

[0074] Obtain the materials removed from the shopping cart by the management personnel during settlement;

[0075] For each removed material, obtain its type and unit price and record them;

[0076] For a type, obtain the lowest unit price of the materials of this type removed from the shopping cart by the management personnel, denoted as the unit price threshold;

[0077] In the above way, obtain the unit price threshold for each type;

[0078] When conducting advertisement promotion, for a type, do not promote the materials with a unit price higher than the unit price threshold of this type.

[0079] The present invention has the following beneficial effects:

[0080] 1. For the intelligent push method of telecom advertisement information based on the Internet, obtain all purchase time periods and set a time interval threshold. If the time interval between two adjacent purchase time periods ≤ the time interval, it indicates that the person may have closed the purchase software due to accidental touch or other reasons, and it is the same person who browsed the materials during these two purchase time periods. Therefore, merge these two purchase time periods. By this way, merge all the purchasable time periods that can be merged, so as to ensure that only one person browses the materials within a purchase time period. By this way, when collecting the purchase preferences of the person according to the personnel preference collection strategy in the subsequent process, it can be ensured that the data collected within a purchase time period is that of one person, which is beneficial to the accuracy of subsequent advertisement push.

[0081] 2. The intelligent push method for telecom advertising information based on the Internet. During a procurement period, all types of materials searched by personnel are obtained. For each type, all materials under the target type are obtained to form a target material set. Orders for materials in the target material set that were successfully purchased in all historical orders are obtained and sorted in ascending order of unit price. Then, a first ratio, a second ratio, and a third ratio are set to classify all materials under the target type. The materials in the target material set are divided into a first material set, a second material set, a third material set, and a fourth material set. Among them, the first material set is composed of materials with very low unit prices, and only 10% of people purchase them. The fourth material set is composed of materials with very high unit prices, and also only 10% of people purchase them. Because the unit prices are very low or very high, only a small number of people purchase them. Therefore, the first ratio is set to 10% and the third ratio is set to 90%. In this way, the materials in the target material set can be accurately classified. After the material classification is completed, an auxiliary material set is formed by obtaining all the materials clicked and browsed by personnel. The materials in the auxiliary material set represent the materials that personnel are really interested in. Then, a first auxiliary set, a second auxiliary set, a third auxiliary set, and a fourth auxiliary set are obtained, and the set with the largest number of materials in the first auxiliary set, the second auxiliary set, the third auxiliary set, and the fourth auxiliary set is selected as the push set. Through the above method, for each procurement period and the corresponding first type, second type... type B, as well as the push sets of the first type, second type... type B corresponding to this procurement period are obtained. By storing each pairing relationship and entering it into the database, the advertising push data can be efficiently managed and queried, improving the automation and accuracy of advertising management.

[0082] 3. For the intelligent push method of telecom advertising information based on the Internet, when a person browses materials through a procurement software on a target device, obtain the target time period of the target person, then obtain all the material types searched by the target person during the target time period, and then obtain the push sets of the first target type, the push sets of the second target type... the push sets of the Cth target type according to the preference collection strategy; by setting the same proportion threshold, compare the push sets in each pairing relationship in the database with the push sets of the first target type, the push sets of the second target type... the push sets of the Cth target type, and calculate the similarity; select the pairing relationship with the highest similarity. If the determination proportion of the pairing relationship with the largest quantity ≤ the same proportion threshold, it means that the purchase preference of the target person is different from all the purchase preferences stored in the database. Therefore, at this time, record the purchase preference of the target person and form a pairing relationship to be stored in the database. When the target person browses materials again, the target person can be pushed advertisements according to the stored data; if the determination proportion of the pairing relationship with the largest quantity > the same proportion threshold, it means that the purchase preference of the target person is highly the same as a certain purchase preference stored in the database. At this time, it is considered that the purchase preference of the target person has been stored in the database, and the stored purchase preference of the target person is the pairing relationship with the largest determination proportion. At this time, promote the target person. Specifically, obtain all the materials in all the push sets of the target relationship and form an advertisement set; push the advertisements of the materials in the advertisement set to the target person. The materials promoted in this way are all in line with the purchase preferences of the target person, ensuring the accuracy and efficiency of advertisement pushing, and at the same time improving the user experience and the effect of advertisement placement.

[0083] 4. For the intelligent push method of telecom advertising information based on the Internet, obtain the materials removed from the shopping cart by the management personnel during settlement. The reason for the removal of the materials may be that the unit price is too high and thus does not meet the standard; for one type, obtain the lowest unit price of the materials of this type removed from the shopping cart by the management personnel, denoted as the unit price threshold; during advertisement promotion, for one type, do not promote the advertisement of the materials with a unit price higher than the unit price threshold of this type. In this way, the effectiveness of advertisement pushing can be guaranteed, and advertisements of materials that will never be purchased will not be pushed. Brief Description of the Drawings

[0084] Figure 1 It is a schematic structural diagram of the present invention. Detailed Embodiment

[0085] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0086] An embodiment is referred to Figure 1 , an intelligent push method for telecom advertising information based on the Internet, specifically including:

[0087] Set a target device;

[0088] Install procurement software on the target device;

[0089] The procurement software is used for personnel within the organization to purchase materials;

[0090] Only one target device is set within an organization;

[0091] Obtain the personnel who have the permission to settle the materials in the target device, denoted as management personnel;

[0092] When a person browses materials through the procurement software on the target device, collect the person's purchase preferences according to the personnel preference collection strategy, specifically including:

[0093] Obtain the moment when the person opens the procurement software, denoted as the first moment;

[0094] Obtain the moment when the procurement software is closed after the first moment and closest to the first moment, denoted as the second moment;

[0095] The time period between the first moment and the second moment is a procurement time period;

[0096] Obtain all the procurement time periods in the above manner;

[0097] Set a time interval threshold;

[0098] The time interval threshold is used to determine whether to merge multiple procurement time periods into one procurement time period;

[0099] The intelligent push method for telecom advertising information based on the Internet obtains all procurement time periods and sets a time interval threshold. If the time interval between two adjacent procurement time periods ≤ the time interval, it indicates that the person may have closed the procurement software due to accidental touch or other reasons, and it is the same person who browsed the materials during these two procurement time periods. Therefore, these two procurement time periods are merged. By this way, all mergeable procurement time periods are merged, so as to ensure that only one person browses the materials within a procurement time period. By this method, when collecting the purchase preferences of personnel according to the personnel preference collection strategy in the follow-up, it can be ensured that the data collected within a procurement time period is that of one person, which is beneficial to the accuracy of subsequent advertising push.

[0100] When a person browses materials through the procurement software on the target device, collect the purchase preferences of the person according to the personnel preference collection strategy, specifically including:

[0101] Select two adjacent procurement time periods in chronological order;

[0102] Obtain the end time of the previous procurement time period and record it as the auxiliary end time;

[0103] Obtain the start time of the next procurement time period and record it as the auxiliary start time;

[0104] The time period between the auxiliary end time and the auxiliary start time is recorded as the auxiliary time period;

[0105] Obtain the duration of the auxiliary time period and record it as the auxiliary duration;

[0106] Compare the auxiliary duration with the time interval threshold;

[0107] If the auxiliary duration ≤ the time interval threshold, merge these two adjacent procurement time periods into one procurement time period;

[0108] If the auxiliary duration > the time interval threshold, do not merge these two adjacent procurement time periods into one procurement time period;

[0109] Merge all mergeable procurement time periods in the above way.

[0110] When a person browses materials through the procurement software on the target device, collect the purchase preferences of the person according to the personnel preference collection strategy, specifically including:

[0111] Obtain all the merged procurement time periods and record them in chronological order as the first procurement time period, the second procurement time period... the A-th procurement time period, where A refers to the number of the merged procurement time periods;

[0112] For one procurement time period;

[0113] Obtain all types of materials searched by the person during this procurement period, denoted as the first type, the second type... the Bth type respectively, where B refers to the number of all types of materials searched by the person during this procurement period;

[0114] For one type, obtain all the materials under this type and classify them according to the price and the purchase ratio. Specifically:

[0115] Select any one type from the first type, the second type... the Bth type, denoted as the target type;

[0116] Obtain all the materials under the target type to form a target material set;

[0117] Obtain the orders that successfully purchased the materials in the target material set from all historical orders to form a target order set.

[0118] When a person browses materials through the procurement software on the target device, collect the person's purchase preferences according to the person preference collection strategy, specifically including:

[0119] Obtain the unit price of each order in the target order set for purchasing the materials in the target material set, and sort them in ascending order of unit price to form a sequence, denoted as the target sequence;

[0120] Set the first ratio, specifically 10%;

[0121] Set the second ratio, specifically 50%;

[0122] Set the third ratio, specifically 90%;

[0123] The first ratio, the second ratio and the third ratio are used to classify all the materials under the target type;

[0124] In ascending order of unit price, obtain the unit price at the first ratio in the target sequence, denoted as the first unit price; obtain the unit price at the second ratio in the target sequence, denoted as the second unit price; obtain the unit price at the third ratio in the target sequence, denoted as the third unit price;

[0125] Obtain the unit price of all the materials in the target material set;

[0126] Among them, the materials with a unit price less than the first unit price form the first material set, the materials with a unit price between the first unit price and the second unit price form the second material set, the materials with a unit price between the second unit price and the third unit price form the third material set, and the commodities with a unit price greater than the third unit price form the fourth material set.

[0127] When a person browses materials through the procurement software on the target device, collect the person's purchase preferences according to the person preference collection strategy, specifically including:

[0128] Obtain all the materials clicked and browsed by the personnel to form an auxiliary material set;

[0129] Obtain the intersection of the auxiliary material set and the first material set, denoted as the first auxiliary set; obtain the intersection of the auxiliary material set and the second material set, denoted as the second auxiliary set; obtain the intersection of the auxiliary material set and the third material set, denoted as the third auxiliary set; obtain the intersection of the auxiliary material set and the fourth material set, denoted as the fourth auxiliary set;

[0130] Compare the quantities of the materials in the first auxiliary set, the second auxiliary set, the third auxiliary set, and the fourth auxiliary set;

[0131] If the quantity of materials in the first auxiliary set is the largest, select the first material set as the push set; if the quantity of materials in the second auxiliary set is the largest, select the second material set as the push set; if the quantity of materials in the third auxiliary set is the largest, select the third material set as the push set; if the quantity of materials in the fourth auxiliary set is the largest, select the fourth material set as the push set for the target category;

[0132] Through the above method, for each procurement time period, obtain the push sets of the first category, the second category... the Bth category respectively, and store and form a pairing relationship and enter it into the database;

[0133] Each pairing relationship consists of a procurement time period and the corresponding first category, second category... the Bth category, and the push sets of the first category, second category... the Bth category corresponding to this procurement time period;

[0134] The intelligent push method for telecommunications advertising information based on the Internet. During a procurement period, all types of materials searched by a person are obtained. For each type, all materials under the target type are obtained to form a target material set. The orders that successfully purchased the materials in the target material set in all historical orders are obtained and sorted in ascending order of unit price. Then, the first ratio, the second ratio, and the third ratio are set to classify all materials under the target type. The materials in the target material set are divided into the first material set, the second material set, the third material set, and the fourth material set. The first material set is composed of materials with very low unit prices, and only 10% of people purchase them. The fourth material set is composed of materials with very high unit prices, and also only 10% of people purchase them. Because the unit prices are very low or very high, only a few people purchase them. Therefore, the first ratio is set to 10% and the third ratio is set to 90%. In this way, the materials in the target material set can be accurately classified. After the classification of the materials is completed, all the materials clicked and browsed by the person are obtained to form an auxiliary material set. The materials in the auxiliary material set represent the materials that the person is really interested in. Then, the first auxiliary set, the second auxiliary set, the third auxiliary set, and the fourth auxiliary set are obtained, and the set with the largest number of materials in the first auxiliary set, the second auxiliary set, the third auxiliary set, and the fourth auxiliary set is selected as the push set. Through the above method, each procurement period and the corresponding first type, second type... the Bth type, as well as the push sets of the first type, second type... the Bth type corresponding to this procurement period are obtained. By storing each pairing relationship and entering it into the database, the advertising push data can be efficiently managed and queried, improving the automation and accuracy of advertising management.

[0135] Including:

[0136] When a person browses materials through a procurement software on a target device, advertising is pushed to the person according to a push strategy, specifically including:

[0137] Obtain the person who browses materials through the procurement software on the target device, and record it as the target person;

[0138] Obtain the procurement period of the target person, and record it as the target period;

[0139] Obtain all types of materials searched by the target person during the target period, and record them as the first target type, the second target type... the Cth target type respectively, where C refers to the number of all types of materials searched by the target person during the target period;

[0140] Obtain the push sets of the first target type, the second target type... the Cth target type according to the person preference collection strategy.

[0141] When a person browses materials through a procurement software on a target device, advertisement is pushed to the person according to a push strategy, which specifically includes:

[0142] Set the same proportion threshold;

[0143] The same proportion threshold is used to determine whether to promote advertisements to the target person;

[0144] For a pairing relationship in the database;

[0145] Obtain the push set in the pairing relationship, and calculate the similarity rate between the push set in the pairing relationship and the push sets of the first target category, the second target category... the Cth target category, specifically:

[0146] Obtain the number of push sets in the pairing relationship that are the same as the push sets of the first target category, the second target category... the Cth target category, and record it as the same number;

[0147] Obtain the number of push sets of the first target category, the second target category... the Cth target category, and record it as the total number;

[0148] Calculate the same number ÷ the total number, and record the result as the determination ratio;

[0149] Obtain the determination ratio of each pairing relationship through the above method;

[0150] Obtain the determination ratio of the pairing relationship with the largest number;

[0151] If the determination ratio of the pairing relationship with the largest number ≤ the same proportion threshold, no advertisement is promoted to the target person. At the same time, form a pairing relationship between the target time period and the first target category, the second target category... the Cth target category, as well as the push sets of the first target category, the second target category... the Cth target category, and enter it into the database;

[0152] If the determination ratio of the pairing relationship with the largest number > the same proportion threshold, promote advertisement to the target person, specifically:

[0153] Obtain the pairing relationship with the largest determination ratio, and record it as the target relationship;

[0154] Obtain all the materials in all the push sets of the target relationship, and form an advertisement set;

[0155] Push the advertisements of the materials in the advertisement set to the target person;

[0156] The intelligent push method for telecom advertising information based on the Internet. When a person browses materials through a procurement software on a target device, obtain the target time period of the target person, then obtain all the material types searched by the target person during the target time period, and then obtain the push sets of the first target type, the push sets of the second target type... the push sets of the Cth target type according to the preference collection strategy; by setting the same proportion threshold, compare the push sets in each pairing relationship in the database with the push sets of the first target type, the push sets of the second target type... the push sets of the Cth target type, and calculate the similarity; select the pairing relationship with the highest similarity. If the determination proportion of the pairing relationship with the largest quantity ≤ the same proportion threshold, it means that the purchase preference of the target person is different from all the purchase preferences stored in the database. Therefore, at this time, record the purchase preference of the target person and form a pairing relationship to store in the database. When the target person browses materials again, the advertisement can be pushed to the target person according to the stored data; if the determination proportion of the pairing relationship with the largest quantity > the same proportion threshold, it means that the purchase preference of the target person is highly the same as a certain purchase preference stored in the database. At this time, it is considered that the purchase preference of the target person has been stored in the database, and the stored purchase preference of the target person is the pairing relationship with the largest determination proportion. At this time, promote the target person. Specifically, obtain all the materials in all the push sets of the target relationship and form an advertisement set; push the advertisements of the materials in the advertisement set to the target person. The materials promoted in this way are all in line with the purchase preferences of the target person, ensuring the accuracy and efficiency of advertisement push, and at the same time improving the user experience and the effect of advertisement placement.

[0157] It also includes:

[0158] Obtain the materials removed from the shopping cart by the management staff during settlement;

[0159] For each removed material, obtain its type and unit price and record them;

[0160] For one type, obtain the lowest unit price of the materials of this type removed from the shopping cart by the management staff, and record it as the unit price threshold;

[0161] In the above way, obtain the unit price threshold for each type;

[0162] During advertisement promotion, for one type, do not promote the materials with a unit price higher than the unit price threshold of this type;

[0163] The intelligent push method for Internet-based telecom advertising information obtains the materials removed from the shopping cart by the management personnel during settlement. The reason for the removal of the materials may be that the unit price is too high and thus does not meet the standard. For a certain type, the management personnel obtain the lowest unit price of the materials removed from the shopping cart under this type, which is recorded as the unit price threshold. When conducting advertising promotion, for a certain type, materials with a unit price higher than the unit price threshold of this type are not promoted. In this way, the effectiveness of the advertising push can be ensured, and advertisements for materials that will not be purchased at all will not be pushed.

[0164] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent in such process, method, article or device.

[0165] The above are only the preferred embodiments of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the technical principle of the present invention, several improvements and retouches can be made, and these improvements and retouches should also be regarded as the protection scope of the present invention.

Claims

1. An intelligent push method for telecom advertising information based on the Internet, characterized in that, Specifically include: Set up a target device; Install procurement software on the target device; The procurement software is used for personnel within the organization to purchase materials; Only one target device is set up within an organization; Obtain the personnel with the authority to settle the materials in the target device, denoted as management personnel; When a person browses materials through the procurement software on the target device, collect the person's purchase preferences according to the personnel preference collection strategy, specifically including: Obtain the moment when the person opens the procurement software, denoted as the first moment; Obtain the moment when the procurement software is closed after the first moment and closest to the first moment, denoted as the second moment; The time period between the first moment and the second moment is a procurement time period; Obtain all procurement time periods in the above manner; Set a time interval threshold; The time interval threshold is used to determine whether to merge multiple procurement time periods into one procurement time period; When a person browses materials through the procurement software on the target device, push advertisements to the person according to the push strategy, specifically including: Obtain the person who browses materials through the procurement software on the target device, denoted as the target person; Obtain the procurement time period of the target person, denoted as the target time period; Obtain all material types searched by the target person during the target time period, denoted as the first target type, the second target type... the Cth target type respectively, where C refers to the number of all material types searched by the target person during the target time period; Obtain the push set of the first target type, the push set of the second target type... the push set of the Cth target type according to the personnel preference collection strategy; Set a same ratio threshold; The same ratio threshold is used to determine whether to conduct advertisement promotion for the target person; For a pairing relationship in the database; Obtain the push set in the pairing relationship, and calculate the similarity rate between the push set in the pairing relationship and the push set of the first target type, the push set of the second target type... the push set of the Cth target type, specifically: Obtain the number of push sets in the pairing relationship that are the same as the push set of the first target type, the push set of the second target type... the push set of the Cth target type, denoted as the same number; Obtain the number of the push set of the first target type, the push set of the second target type... the push set of the Cth target type, denoted as the total number; Calculate the same number ÷ the total number, and the result is denoted as the determination ratio; Obtain the determination ratio of each pairing relationship in the above manner; Obtain the determination ratio of the pairing relationship with the largest number; If the determination ratio of the pairing relationship with the largest number ≤ the same ratio threshold, do not conduct advertisement promotion for the target person, and at the same time form a pairing relationship between the target time period and the first target type, the second target type... the Cth target type and the push set of the first target type, the push set of the second target type... the push set of the Cth target type and enter it into the database; If the determination ratio of the pairing relationship with the largest number > the same ratio threshold, conduct advertisement promotion for the target person, specifically: Obtain the pairing relationship with the largest determination ratio, denoted as the target relationship; Obtain all materials in all push sets of the target relationship and form an advertisement set; Push advertisements for materials in the advertisement set to the target personnel; Obtain the materials removed from the shopping cart by the management personnel during settlement; For each removed material, obtain its type and unit price and record them; For a type, obtain the lowest unit price of the materials of this type removed by the management personnel from the shopping cart, and record it as the unit price threshold; Obtain the unit price threshold for each type in the above manner; During advertisement promotion, for a type, do not promote the advertisement of materials with a unit price higher than the unit price threshold of this type.

2. The intelligent push method for Internet-based telecom advertising information according to claim 1, wherein: When a person browses materials through the procurement software on the target device, collect the person's purchase preferences according to the person preference collection strategy, specifically including: Select two adjacent procurement time periods in chronological order; Obtain the end time of the previous procurement time period, and record it as the auxiliary end time; Obtain the start time of the next procurement time period, and record it as the auxiliary start time; The time period between the auxiliary end time and the auxiliary start time is recorded as the auxiliary time period; Obtain the duration of the auxiliary time period, and record it as the auxiliary duration; Compare the auxiliary duration with the time interval threshold; If the auxiliary duration ≤ the time interval threshold, merge these two adjacent procurement time periods into one procurement time period; If the auxiliary duration > the time interval threshold, do not merge these two adjacent procurement time periods into one procurement time period; Merge all the procurement time periods that can be merged in the above manner.

3. The intelligent push method of telecommunication advertisement information based on the Internet according to claim 2, characterized in that: When a person browses materials through the procurement software on the target device, collect the person's purchase preferences according to the person preference collection strategy, specifically including: Obtain all the merged procurement time periods, and record them in chronological order as the first procurement time period, the second procurement time period... the A-th procurement time period, where A refers to the number of merged procurement time periods; For a procurement time period; Obtain all the material types searched by the person during this procurement time period, and record them as the first type, the second type... the B-th type respectively, where B refers to the number of all the material types searched by the person during this procurement time period; For a type, obtain all the materials of this type, and classify them according to the price and purchase ratio, specifically: Select any one type from the first type, the second type... the B-th type, and record it as the target type; Obtain all the materials of the target type to form the target material set; Obtain all the orders that successfully purchased the materials in the target material set in all historical orders to form the target order set.

4. An intelligent push method for telecom advertising information based on the Internet according to claim 3, characterized in that: When a person browses materials through the procurement software on the target device, collect the person's purchase preferences according to the person preference collection strategy, specifically including: Obtain the unit price of each order in the target order set for purchasing the materials in the target material set, and sort them in ascending order of the unit price to form a sequence, which is recorded as the target sequence; Set the first ratio, specifically 10%; Set the second ratio, specifically 50%; Set the third ratio, specifically 90%; The first ratio, the second ratio and the third ratio are used to classify all the materials of the target type. Obtain the unit price at the first ratio in the target sequence in ascending order of unit price, denoted as the first unit price; obtain the unit price at the second ratio in the target sequence, denoted as the second unit price; obtain the unit price at the third ratio in the target sequence, denoted as the third unit price; Obtain the unit prices of all materials in the target material set; Among them, the materials with unit prices less than the first unit price form the first material set, the materials with unit prices between the first unit price and the second unit price form the second material set, the materials with unit prices between the second unit price and the third unit price form the third material set, and the commodities with unit prices greater than the third unit price form the fourth material set.

5. The intelligent push method for telecom advertising information based on the Internet according to claim 4, characterized in that: When a person browses materials through the procurement software on the target device, collect the person's purchase preferences according to the person preference collection strategy, specifically including: Obtain all the materials clicked and browsed by the person to form an auxiliary material set; Obtain the intersection of the auxiliary material set and the first material set, denoted as the first auxiliary set; obtain the intersection of the auxiliary material set and the second material set, denoted as the second auxiliary set; obtain the intersection of the auxiliary material set and the third material set, denoted as the third auxiliary set; obtain the intersection of the auxiliary material set and the fourth material set, denoted as the fourth auxiliary set; Compare the quantities of materials in the first auxiliary set, the second auxiliary set, the third auxiliary set, and the fourth auxiliary set; If the quantity of materials in the first auxiliary set is the largest, select the first material set as the push set; if the quantity of materials in the second auxiliary set is the largest, select the second material set as the push set; if the quantity of materials in the third auxiliary set is the largest, select the third material set as the push set; if the quantity of materials in the fourth auxiliary set is the largest, select the fourth material set as the push set for the target category; In the above manner, for each procurement time period, respectively obtain the push sets of the first category, the second category... the Bth category, and store and form a pairing relationship and enter it into the database; Each pairing relationship consists of a procurement time period and the corresponding first category, second category... the Bth category, and the push sets of the first category, second category... the Bth category corresponding to this procurement time period.

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