Telecommunication advertisement information intelligent pushing method based on Internet

Abstract

The invention relates to the technical field of advertisement pushing, and discloses an internet-based telecom advertisement information intelligent pushing method, which comprises the following steps of: judging a time interval threshold value of a plurality of purchase time periods generated in a purchase process of a user, and combining adjacent purchase time periods; the pushing strategy is optimized according to the types and price information of the materials browsed by the user; the pushing strategy intelligently recommends the advertisement materials by calculating the correlation among the unit prices of the materials, the purchase proportion and the types of the materials; the pushing set is matched with the preference of the target person through comparison, so that accurate pushing of the directional advertisement is realized, and the advertisement effect is further improved; in addition, through analysis of settlement data of the management personnel, high-unit-price materials which are not suitable for advertisement promotion can be filtered, and an advertisement pushing strategy is further optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of advertisement push, and in particular to an intelligent push method for telecommunication advertisement information based on the Internet. Background Art

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

[0003] In summary, there is an urgent need for an Internet-based intelligent push method for telecommunications advertising information to intelligently push precise advertisements and improve the relevance and conversion rate of advertisements. Summary of the invention

[0004] The present invention provides an Internet-based telecommunication advertisement information intelligent push method, which helps solve the problems mentioned in the above background technology.

[0005] The present invention provides the following technical solution: a method for intelligently pushing telecommunication advertisement information based on the Internet, specifically comprising: Set the target device; Install the procurement software on the target device; The said procurement software is used for the procurement of materials by personnel within the organization; Only one target device is set up in one organization; Obtain the personnel who have the authority to settle the materials in the target equipment and record them as management personnel; When a person browses materials through the procurement software on the target device, the person's purchasing preferences are collected according to the person's preference collection strategy, including: The moment when the acquisition personnel opens the procurement software is recorded as the first moment; Obtain the time of closing the purchasing software that is closest to the first time and after the first time, and record it as the second time; The time period between the first moment and the second moment is a purchasing time period; Obtain all purchasing time periods through the above method; Set time interval threshold; The time interval threshold is used to determine whether to merge multiple purchasing time periods into one purchasing time period.

[0006] Optionally, when a person browses materials through the procurement software on the target device, the purchasing preferences of the person are collected according to the person preference collection strategy, specifically including: Select two adjacent purchasing time periods in chronological order; Get the end time of the previous purchasing time period and record it as the auxiliary end time; Get the start time of the next purchasing time period, and record it as the auxiliary start time; The time period between the assistance end time and the assistance start time is recorded as the assistance time period; Get the duration of the auxiliary time period, which is recorded as the auxiliary duration; comparing the assistance duration to a time interval threshold; If the auxiliary duration is ≤ the time interval threshold, the two adjacent purchase time periods are merged into one purchase time period; If the auxiliary duration is greater than the time interval threshold, the purchase time periods of the two rings will not be combined into one purchase time period; All purchasing time periods that can be combined are combined in the above manner.

[0007] Optionally, when a person browses materials through the procurement software on the target device, the purchasing preferences of the person are collected according to the person preference collection strategy, specifically including: Obtain all the merged purchasing time periods and record them in chronological order as the first purchasing time period, the second purchasing time period, and the Ath purchasing time period, where A refers to the number of the merged purchasing time periods; For a purchasing period; Get all the material types that the personnel searched for during this procurement time period, and record them as the first type, the second type, and the Bth type, respectively, where B refers to the number of all material types that the personnel searched for during this procurement time period; For a category, obtain all materials under this category and classify them according to price and purchase ratio, specifically: Select one category from the first category, the second category, ... the B category, and record it as the target category; Obtain all materials under the target category to form a target material set; Obtain all historical orders that successfully purchase materials in the target material set to form a target order set.

[0008] Optionally, when a person browses materials through the procurement software on the target device, the purchasing preferences of the person are collected according to the person preference collection strategy, specifically including: Obtain the unit price of the materials in the target material set purchased by each order in the target order set, and sort them in order from low to high according to 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 materials under the target category; According to the order of unit price from low to high, obtain the unit price in the first proportion in the target sequence, which is recorded as the first unit price; obtain the unit price in the second proportion in the target sequence, which is recorded as the second unit price; obtain the unit price in the third proportion in the target sequence, which is recorded as the third unit price; Get the unit price of all materials in the target material collection; Among them, materials with unit prices less than the first unit price constitute the first material set, materials with unit prices between the first unit price and the second unit price constitute the second material set, materials with unit prices between the second unit price and the third unit price constitute the third material set, and goods with unit prices greater than the third unit price constitute the fourth material set.

[0009] Optionally, when a person browses materials through the procurement software on the target device, the purchasing preferences of the person are collected according to the person preference collection strategy, specifically including: Get all the materials that the personnel click and browse to form a collection of auxiliary materials; Get the intersection of the auxiliary material set and the first material set, recorded as the first auxiliary set; get the intersection of the auxiliary material set and the second material set, recorded as the second auxiliary set; get the intersection of the auxiliary material set and the third material set, recorded as the third auxiliary set; get the intersection of the auxiliary material set and the fourth material set, recorded 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 first auxiliary set has the largest number of materials, the first material set is selected as the push set; if the second auxiliary set has the largest number of materials, the second material set is selected as the push set; if the third auxiliary set has the largest number of materials, the third material set is selected as the push set; if the fourth auxiliary set has the largest number of materials, the fourth material set is selected as the push set of the target category; Through the above method, for each purchasing time period, the first type of push set, the second type of push set, ... the Bth type of push set are obtained respectively, and the paired relationships are stored and entered into the database; Each pairing relationship consists of a purchasing time period and the first category, second category...Bth category corresponding to this purchasing time period and the push set of the first category, second category...Bth category corresponding to this purchasing time period.

[0010] Optional, including: When a person browses materials through the procurement software on the target device, advertisements are pushed to the person according to the push strategy, including: Get the personnel who browse materials through the procurement software on the target device and record them as target personnel; Obtain the purchasing time period of the target personnel and record it as the target time period; Obtain all types of materials that the target person searches for within the target time period, and record them as the first target type, the second target type, ... the Cth target type, where C refers to the number of all types of materials that the target person searches for within the target time period; According to the personnel preference collection strategy, a push set of a first target category, a push set of a second target category, and so on, a push set of a Cth target category are obtained.

[0011] Optionally, when a person browses materials through the procurement software on the target device, an advertisement is pushed to the person according to the push strategy, specifically including: Set the same ratio threshold; The same ratio threshold is used to determine whether to conduct advertising promotion to the target person; For a pairing relationship in the database; The push set in the pairing relationship is obtained, and 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, and the push set of the Cth target category is calculated, specifically: Obtain the number of push sets in the pairing relationship that are identical to 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 identical number; Obtain the number of push sets of the first target category, the push sets of the second target category, ..., the number of push sets of the Cth target category, and record it as the total number; Calculate the same number ÷ total number, and record the result as the judgment ratio; Obtaining the determination ratio of each pairing relationship in the manner described; Obtain the judgment ratio of the largest number of pairing relationships; If the judgment ratio of the largest number of paired relationships is ≤ the same ratio threshold, no advertising promotion is performed on the target person, and at the same time, a paired relationship is formed between the target time period and the first target category, the second target category ... the Cth target category, and the push collection of the first target category, the push collection of the second target category ... the Cth target category and the push collection of the first target category and the Cth target category and entered into the database; If the judgment ratio of the largest number of paired relationships is greater than the same ratio threshold, advertising promotion will be carried out to the target person, specifically: Obtain the pairing relationship with the largest judgment ratio, which is recorded as the target relationship; Get all the materials in all push collections of the target relationship and form an advertisement collection; Push advertisements of materials in the advertisement collection to target persons.

[0012] Optionally, also include: Get the materials that the manager removes from the shopping cart during checkout; For each material removed, obtain its type and unit price and record them; For a category, obtain the lowest unit price of materials under this category that the manager removes from the shopping cart, and record it as the unit price threshold; Through the above method, the unit price threshold of each category is obtained; When conducting advertising promotion, for a category, materials with unit prices higher than the unit price threshold of this category will not be advertised.

[0013] The present invention has the following beneficial effects: 1. This method for intelligently pushing telecommunication advertising information based on the Internet obtains all purchasing time periods and sets a time interval threshold. If the time interval between two adjacent purchasing time periods is ≤ the time interval, it means that the person may have closed the purchasing software due to accidental touch or other reasons. The same person browsed materials in these two purchasing time periods, so the two purchasing time periods are merged. In this way, all purchasing time periods that can be merged are merged, thereby ensuring that only one person browses materials in a purchasing time period. In this way, when the purchasing preferences of personnel are collected according to the personnel preference collection strategy in the future, it can be ensured that the data collected in a purchasing time period is that of one person, which is conducive to the accuracy of subsequent advertising push.

[0014] 2. The method for intelligently pushing telecommunication advertisement information based on the Internet obtains all kinds of materials searched by personnel within a purchasing period, obtains all materials under the target kind for each kind, forms a target material set, obtains orders for successfully purchasing materials in the target material set from all historical orders, and sorts them in order of unit price from low to high, and then sets a first ratio, a second ratio, and a third ratio to classify all materials under the target kind, and divides the materials in the target material set into a first material set, a second material set, a third material set, and a fourth material set, wherein the first material set is materials with a very low unit price, which are only purchased by 10% of people, and the fourth material set is materials with a very high unit price, which are also only purchased by 10% of people, because the unit price is very low or very high, so only a few people buy it, so here the first ratio is set to 10%, the third ratio is set to 90%, and the fourth ratio is set to 10%. In this way, the materials in the target material set can be accurately classified; after the materials are classified, an auxiliary material set is formed by obtaining all the materials clicked and browsed by the personnel, and the materials in the auxiliary material set represent the materials that the personnel are really interested in; then the first auxiliary set, the second auxiliary set, the third auxiliary set and the fourth auxiliary set are obtained, and then 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 time period and the first category, the second category...the Bth category corresponding to this procurement time period and the push set of the first category, the push set of the second category...the Bth category corresponding to this procurement time period are obtained; by storing each pairing relationship and entering it into the database, the advertising push data can be efficiently managed and queried, and the automation and accuracy of advertising management can be improved.

[0015] 3. The method for intelligently pushing telecommunication advertising information based on the Internet, when a person browses materials through a procurement software on a target device, obtains the target time period of the target person, then obtains all the material types searched by the target person within the target time period, and then obtains 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 preference collection strategy; by setting the same ratio threshold, the push set in each pairing relationship in the database is compared with 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 the similarity is calculated; the pairing relationship with the highest similarity is selected, and if the judgment ratio of the pairing relationship with the largest number is ≤ the same ratio threshold, it means that the purchase preference of the target person is different from the purchase preference stored in the database, so at this time, the target person is recorded. The purchasing preferences of the target personnel are collected and paired with each other and stored in the database. When the target personnel browse the materials again, advertisements can be pushed to the target personnel based on the stored data. If the judgment ratio of the paired relationships with the largest number is greater than the same ratio threshold, it means that the purchasing preferences of the target personnel are highly consistent with a certain purchasing preference stored in the database. At this time, it is considered that the purchasing preferences of the target personnel have been stored in the database, and the stored purchasing preferences of the target personnel are the paired relationships with the largest judgment ratio. At this time, promotion is carried out to the target personnel, specifically, all materials in all push sets of the target relationship are obtained, and an advertisement set is formed. Advertisements for materials in the advertisement set are pushed to the target personnel. Materials promoted in this way are all materials that meet the purchasing preferences of the target personnel, ensuring the accuracy and efficiency of advertisement push, while improving user experience and the effect of advertisement delivery.

[0016] 4. This method is based on the Internet and is an intelligent method for pushing telecommunication advertising information. The method obtains the materials that the manager removes from the shopping cart when checking out. The reason for removing the materials may be that the unit price is too high and thus does not meet the standards. For a category, the method obtains the lowest unit price of the materials of this category that the manager removes from the shopping cart, which is recorded as the unit price threshold. When promoting advertising, for a category, the materials with a unit price higher than the unit price threshold of this category will not be promoted. In this way, the effectiveness of the advertising push can be guaranteed, and advertisements for materials that will not be purchased at all will not be pushed. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the structure of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Example, see Figure 1 , a method for intelligently pushing telecommunication advertising information based on the Internet, specifically comprising: Set the target device; Install the procurement software on the target device; The said procurement software is used for the procurement of materials by personnel within the organization; Only one target device is set up in one organization; Obtain the personnel who have the authority to settle the materials in the target equipment and record them as management personnel; When a person browses materials through the procurement software on the target device, the person's purchasing preferences are collected according to the person's preference collection strategy, including: The moment when the acquisition personnel opens the procurement software is recorded as the first moment; Obtain the time of closing the purchasing software that is closest to the first time and after the first time, and record it as the second time; The time period between the first moment and the second moment is a purchasing time period; Obtain all purchasing time periods through the above method; Set time interval threshold; The time interval threshold is used to determine whether to merge multiple purchasing time periods into one purchasing time period; The method for intelligently pushing telecommunication advertising information based on the Internet obtains all purchasing time periods and sets a time interval threshold. If the time interval between two adjacent purchasing time periods is ≤ the time interval, it means that the person may have closed the purchasing software due to accidental touch or other reasons, and the same person browsed materials in these two purchasing time periods, so the two purchasing time periods are merged. In this way, all purchasing time periods that can be merged are merged, thereby ensuring that only one person browses materials in a purchasing time period. In this way, when the purchasing preferences of personnel are collected according to the personnel preference collection strategy in the future, it can be ensured that the data collected in a purchasing time period is that of one person, which is conducive to the accuracy of subsequent advertising push.

[0020] When a person browses materials through the procurement software on the target device, the person's purchase preferences are collected according to the person's preference collection strategy, specifically including: Select two adjacent purchasing time periods in chronological order; Get the end time of the previous purchasing time period and record it as the auxiliary end time; Get the start time of the next purchasing time period, and record it as the auxiliary start time; The time period between the assistance end time and the assistance start time is recorded as the assistance time period; Get the duration of the auxiliary time period, which is recorded as the auxiliary duration; comparing the assistance duration to a time interval threshold; If the auxiliary duration is ≤ the time interval threshold, the two adjacent purchase time periods are merged into one purchase time period; If the auxiliary duration is greater than the time interval threshold, the purchase time periods of the two rings will not be combined into one purchase time period; All purchasing time periods that can be combined are combined in the above manner.

[0021] When a person browses materials through the procurement software on the target device, the person's purchase preferences are collected according to the person's preference collection strategy, specifically including: Obtain all the merged purchasing time periods and record them in chronological order as the first purchasing time period, the second purchasing time period, and the Ath purchasing time period, where A refers to the number of the merged purchasing time periods; For a purchasing period; Get all the material types that the personnel searched for during this procurement time period, and record them as the first type, the second type, and the Bth type, respectively, where B refers to the number of all material types that the personnel searched for during this procurement time period; For a category, obtain all materials under this category and classify them according to price and purchase ratio, specifically: Select one category from the first category, the second category, ... the B category, and record it as the target category; Obtain all materials under the target category to form a target material set; Obtain all historical orders that successfully purchase materials in the target material set to form a target order set.

[0022] When a person browses materials through the procurement software on the target device, the person's purchase preferences are collected according to the person's preference collection strategy, specifically including: Obtain the unit price of the materials in the target material set purchased by each order in the target order set, and sort them in order from low to high according to 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 materials under the target category; According to the order of unit price from low to high, obtain the unit price in the first proportion in the target sequence, which is recorded as the first unit price; obtain the unit price in the second proportion in the target sequence, which is recorded as the second unit price; obtain the unit price in the third proportion in the target sequence, which is recorded as the third unit price; Get the unit price of all materials in the target material collection; Among them, materials with unit prices less than the first unit price constitute the first material set, materials with unit prices between the first unit price and the second unit price constitute the second material set, materials with unit prices between the second unit price and the third unit price constitute the third material set, and goods with unit prices greater than the third unit price constitute the fourth material set.

[0023] When a person browses materials through the procurement software on the target device, the person's purchase preferences are collected according to the person's preference collection strategy, specifically including: Get all the materials that the personnel click and browse to form a collection of auxiliary materials; Get the intersection of the auxiliary material set and the first material set, recorded as the first auxiliary set; get the intersection of the auxiliary material set and the second material set, recorded as the second auxiliary set; get the intersection of the auxiliary material set and the third material set, recorded as the third auxiliary set; get the intersection of the auxiliary material set and the fourth material set, recorded 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 first auxiliary set has the largest number of materials, the first material set is selected as the push set; if the second auxiliary set has the largest number of materials, the second material set is selected as the push set; if the third auxiliary set has the largest number of materials, the third material set is selected as the push set; if the fourth auxiliary set has the largest number of materials, the fourth material set is selected as the push set of the target category; Through the above method, for each purchasing time period, the first type of push set, the second type of push set, ... the Bth type of push set are obtained respectively, and the paired relationships are stored and entered into the database; Each pairing relationship consists of a purchasing time period and the first category, the second category ... the Bth category corresponding to the purchasing time period and the push collection of the first category, the push collection of the second category ... the Bth category corresponding to the purchasing time period; The method for intelligently pushing telecommunication advertisement information based on the Internet obtains all kinds of materials searched by personnel within a purchasing time period, obtains all materials under the target kind for each kind, forms a target material set, obtains orders for successfully purchasing materials in the target material set from all historical orders, and sorts them in order of unit price from low to high, and then sets a first ratio, a second ratio, and a third ratio to classify all materials under the target kind, and divides the materials in the target material set into a first material set, a second material set, a third material set, and a fourth material set, wherein the first material set is materials with a very low unit price, which are only purchased by 10% of people, and the fourth material set is materials with a very high unit price, which are also only purchased by 10% of people, because the unit price is very low or very high, so only a few people buy it, so here the first ratio is set to 10%, and the third ratio is set to 90%, through This method can accurately classify the materials in the target material set; after the materials are classified, an auxiliary material set is formed by obtaining all the materials clicked and browsed by the personnel, and the materials in the auxiliary material set represent the materials that the personnel are really interested in; then the first auxiliary set, the second auxiliary set, the third auxiliary set and the fourth auxiliary set are obtained, and then 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 time period and the first category, the second category...the Bth category corresponding to this procurement time period and the push set of the first category, the push set of the second category...the Bth category corresponding to this procurement time period are obtained; by storing each pairing relationship and entering it into the database, the advertising push data can be efficiently managed and queried, and the automation and accuracy of advertising management can be improved.

[0024] include: When a person browses materials through the procurement software on the target device, advertisements are pushed to the person according to the push strategy, including: Get the personnel who browse materials through the procurement software on the target device and record them as target personnel; Obtain the purchasing time period of the target personnel and record it as the target time period; Obtain all types of materials that the target person searches for within the target time period, and record them as the first target type, the second target type, ... the Cth target type, where C refers to the number of all types of materials that the target person searches for within the target time period; According to the personnel preference collection strategy, a push set of a first target category, a push set of a second target category, and so on, a push set of a Cth target category are obtained.

[0025] When a person browses materials through the procurement software on the target device, an advertisement is pushed to the person according to the push strategy, specifically including: Set the same ratio threshold; The same ratio threshold is used to determine whether to conduct advertising promotion to the target person; For a pairing relationship in the database; The push set in the pairing relationship is obtained, and 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, and the push set of the Cth target category is calculated, specifically: Obtain the number of push sets in the pairing relationship that are identical to 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 identical number; Obtain the number of push sets of the first target category, the push sets of the second target category, ..., the number of push sets of the Cth target category, and record it as the total number; Calculate the same number ÷ total number, and record the result as the judgment ratio; Obtaining the determination ratio of each pairing relationship in the manner described; Obtain the judgment ratio of the largest number of pairing relationships; If the judgment ratio of the largest number of paired relationships is ≤ the same ratio threshold, no advertising promotion is performed on the target person, and at the same time, a paired relationship is formed between the target time period and the first target category, the second target category ... the Cth target category, and the push collection of the first target category, the push collection of the second target category ... the Cth target category and the push collection of the first target category and the Cth target category and entered into the database; If the judgment ratio of the largest number of paired relationships is greater than the same ratio threshold, advertising promotion will be carried out to the target person, specifically: Obtain the pairing relationship with the largest judgment ratio, which is recorded as the target relationship; Get all the materials in all push collections of the target relationship and form an advertisement collection; Push advertisements of materials in the advertisement collection to target persons; The method for intelligently pushing telecommunication advertisement information based on the Internet, when a person browses materials through a purchasing software on a target device, obtains the target time period of the target person, then obtains all the material types searched by the target person in the target time period, and then obtains 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 preference collection strategy; by setting the same ratio threshold, the push set in each pairing relationship in the database is compared with 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 the similarity is calculated; the pairing relationship with the highest similarity is selected, and if the judgment ratio of the pairing relationship with the largest number is ≤ the same ratio threshold, it means that the purchase preference of the target person is different from the purchase preference stored in the database, so the target person is recorded at this time. The target person's purchasing preferences are formed into a pairing relationship and stored in the database. When the target person browses the supplies again, advertisements can be pushed to the target person based on the stored data. If the judgment ratio of the pairing relationship with the largest number is greater than the same ratio threshold, it means that the target person's purchasing preferences are highly consistent with a certain purchasing preference stored in the database. At this time, it is considered that the target person's purchasing preferences have been stored in the database, and the stored purchasing preferences of the target person are the pairing relationship with the largest judgment ratio. At this time, promotion is carried out to the target person, specifically, all supplies in all push sets of the target relationship are obtained, and an advertisement set is formed. Advertisements for the supplies in the advertisement set are pushed to the target person. The supplies promoted in this way are all supplies that meet the target person's purchasing preferences, ensuring the accuracy and efficiency of advertisement push, while improving user experience and the effect of advertisement delivery.

[0026] Also includes: Get the materials that the manager removes from the shopping cart during checkout; For each material removed, obtain its type and unit price and record them; For a category, obtain the lowest unit price of materials under this category that the manager removes from the shopping cart, and record it as the unit price threshold; Through the above method, the unit price threshold of each category is obtained; When promoting advertising, for a category, materials with a unit price higher than the unit price threshold of this category will not be promoted; The method is based on the Internet and is used to intelligently push telecommunication advertising information. The method obtains materials removed from a shopping cart by a manager during settlement. The reason for removing the materials may be that the unit price is too high and thus does not meet the standards. For a category, the method obtains the lowest unit price of materials of this category removed from the shopping cart by the manager, which is recorded as the unit price threshold. When promoting advertising, for a category, materials with a unit price higher than the unit price threshold of this category are not promoted. In this way, the effectiveness of advertising promotion can be guaranteed, and advertisements for materials that will not be purchased at all will not be pushed.

[0027] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0028] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for intelligently pushing telecommunication advertisement information based on the Internet, characterized in that: Specifically include: Set the target device; Install the procurement software on the target device; The said procurement software is used for the procurement of materials by personnel within the organization; Only one target device is set up in one organization; Obtain the personnel who have the authority to settle the materials in the target equipment and record them as management personnel; When a person browses materials through the procurement software on the target device, the person's purchasing preferences are collected according to the person's preference collection strategy, including: The moment when the acquisition personnel opens the procurement software is recorded as the first moment; Obtain the time of closing the purchasing software that is closest to the first time and after the first time, and record it as the second time; The time period between the first moment and the second moment is a purchasing time period; Obtain all purchasing time periods through the above method; Set time interval threshold; The time interval threshold is used to determine whether to merge multiple purchasing time periods into one purchasing time period.

2. The method for intelligently pushing telecommunication advertisement information based on the Internet according to claim 1, characterized in that: When a person browses materials through the procurement software on the target device, the person's purchase preferences are collected according to the person's preference collection strategy, specifically including: Select two adjacent purchasing time periods in chronological order; Get the end time of the previous purchasing time period and record it as the auxiliary end time; Get the start time of the next purchasing time period, and record it as the auxiliary start time; The time period between the assistance end time and the assistance start time is recorded as the assistance time period; Get the duration of the auxiliary time period, which is recorded as the auxiliary duration; comparing the assistance duration to a time interval threshold; If the auxiliary duration is ≤ the time interval threshold, the two adjacent purchase time periods are merged into one purchase time period; If the auxiliary duration is greater than the time interval threshold, the purchase time periods of the two rings will not be combined into one purchase time period; All purchasing time periods that can be combined are combined in the above manner.

3. The method for intelligently pushing 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, the person's purchase preferences are collected according to the person's preference collection strategy, specifically including: Obtain all the merged purchasing time periods and record them in chronological order as the first purchasing time period, the second purchasing time period, and the Ath purchasing time period, where A refers to the number of the merged purchasing time periods; For a purchasing period; Get all the material types that the personnel searched for during this procurement time period, and record them as the first type, the second type, and the Bth type, respectively, where B refers to the number of all material types that the personnel searched for during this procurement time period; For a category, obtain all materials under this category and classify them according to price and purchase ratio, specifically: Select one category from the first category, the second category, ... the B category, and record it as the target category; Obtain all materials under the target category to form a target material set; Obtain all historical orders that successfully purchase materials in the target material set to form a target order set.

4. The method for intelligently pushing telecommunication advertisement 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, the person's purchase preferences are collected according to the person's preference collection strategy, specifically including: Obtain the unit price of the materials in the target material set purchased by each order in the target order set, and sort them in order from low to high according to 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 materials under the target category; According to the order of unit price from low to high, obtain the unit price in the first proportion in the target sequence, which is recorded as the first unit price; obtain the unit price in the second proportion in the target sequence, which is recorded as the second unit price; obtain the unit price in the third proportion in the target sequence, which is recorded as the third unit price; Get the unit price of all materials in the target material collection; Among them, materials with unit prices less than the first unit price constitute the first material set, materials with unit prices between the first unit price and the second unit price constitute the second material set, materials with unit prices between the second unit price and the third unit price constitute the third material set, and goods with unit prices greater than the third unit price constitute the fourth material set.

5. The method for intelligently pushing telecommunication advertisement 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, the person's purchase preferences are collected according to the person's preference collection strategy, specifically including: Get all the materials that the personnel click and browse to form a collection of auxiliary materials; Get the intersection of the auxiliary material set and the first material set, recorded as the first auxiliary set; get the intersection of the auxiliary material set and the second material set, recorded as the second auxiliary set; get the intersection of the auxiliary material set and the third material set, recorded as the third auxiliary set; get the intersection of the auxiliary material set and the fourth material set, recorded 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 first auxiliary set has the largest number of materials, the first material set is selected as the push set; if the second auxiliary set has the largest number of materials, the second material set is selected as the push set; if the third auxiliary set has the largest number of materials, the third material set is selected as the push set; if the fourth auxiliary set has the largest number of materials, the fourth material set is selected as the push set of the target category; Through the above method, for each purchasing time period, the first type of push set, the second type of push set, ... the Bth type of push set are obtained respectively, and the paired relationships are stored and entered into the database; Each pairing relationship consists of a purchasing time period and the first category, second category...Bth category corresponding to this purchasing time period and the push set of the first category, second category...Bth category corresponding to this purchasing time period.

6. The method for intelligently pushing telecommunication advertisement information based on the Internet according to claim 5, characterized in that: include: When a person browses materials through the procurement software on the target device, advertisements are pushed to the person according to the push strategy, including: Get the personnel who browse materials through the procurement software on the target device and record them as target personnel; Obtain the purchasing time period of the target personnel and record it as the target time period; Obtain all types of materials that the target person searches for within the target time period, and record them as the first target type, the second target type, ... the Cth target type, where C refers to the number of all types of materials that the target person searches for within the target time period; According to the personnel preference collection strategy, a push set of a first target category, a push set of a second target category, and so on, a push set of a Cth target category are obtained.

7. The method for intelligently pushing telecommunication advertisement information based on the Internet according to claim 6, characterized in that: When a person browses materials through the procurement software on the target device, an advertisement is pushed to the person according to the push strategy, specifically including: Set the same ratio threshold; The same ratio threshold is used to determine whether to conduct advertising promotion to the target person; For a pairing relationship in the database; The push set in the pairing relationship is obtained, and 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, and the push set of the Cth target category is calculated, specifically: Obtain the number of push sets in the pairing relationship that are identical to 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 identical number; Obtain the number of push sets of the first target category, the push sets of the second target category, ..., the number of push sets of the Cth target category, and record it as the total number; Calculate the same number ÷ total number, and record the result as the judgment ratio; Obtaining the determination ratio of each pairing relationship in the manner described; Obtain the judgment ratio of the largest number of pairing relationships; If the judgment ratio of the largest number of paired relationships is ≤ the same ratio threshold, no advertising promotion is performed on the target person, and at the same time, a paired relationship is formed between the target time period and the first target category, the second target category ... the Cth target category, and the push collection of the first target category, the push collection of the second target category ... the Cth target category and the push collection of the first target category and the Cth target category and entered into the database; If the judgment ratio of the largest number of paired relationships is greater than the same ratio threshold, advertising promotion will be carried out to the target person, specifically: Obtain the pairing relationship with the largest judgment ratio, which is recorded as the target relationship; Get all the materials in all push collections of the target relationship and form an advertisement collection; Push advertisements of materials in the advertisement collection to target persons.

8. The method for intelligently pushing telecommunication advertisement information based on the Internet according to claim 7, characterized in that: Also includes: Get the materials that the manager removes from the shopping cart during checkout; For each material removed, obtain its type and unit price and record them; For a category, obtain the lowest unit price of materials under this category that the manager removes from the shopping cart, and record it as the unit price threshold; Through the above method, the unit price threshold of each category is obtained; When conducting advertising promotion, for a category, materials with unit prices higher than the unit price threshold of this category will not be advertised.

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